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Sample_from_Cora_446271 | Paper #446271 has the title `Mapping Bayesian Networks to Boltzmann Machines
` and the abstract `We study the task of tnding a maximal a posteriori (MAP) instantiation of Bayesian network variables, given a partial value assignment as an initial constraint. This problem is known to be NP-hard, so we concentrate on a ... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #446271. \t[Title] Mapping Bayesian Networks to Boltzmann Machines [Abstract] We study the task of tnding a maximal a posteriori (MAP) instantiation of Bayesian network variables, given a partial value assignment as an initial constraint. This probl... | [
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Sample_from_Cora_646836 | Paper #646836 has the title `Raising GA Performance by Simultaneous Tuning of Selective Pressure and Recombination Disruptiveness
` and the abstract `In many Genetic Algorithms applications the objective is to find a (near-)optimal solution using a limited amount of computation. Given these requirements it is difficu... | This paper should be classified into: Genetic_Algorithms | [
"Above are papers related to the following paper: [Paper_ID] Paper #646836. \t[Title] Raising GA Performance by Simultaneous Tuning of Selective Pressure and Recombination Disruptiveness [Abstract] In many Genetic Algorithms applications the objective is to find a (near-)optimal solution using a limited amount of c... | [
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Sample_from_Cora_563613 | Paper #563613 has the title `Gene Structure Prediction by Linguistic Methods
` and the abstract `The higher-order structure of genes and other features of biological sequences can be described by means of formal grammars. These grammars can then be used by general-purpose parsers to detect and assemble such structure... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #563613. \t[Title] Gene Structure Prediction by Linguistic Methods [Abstract] The higher-order structure of genes and other features of biological sequences can be described by means of formal grammars. These grammars can then be used by general-pur... | [
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Sample_from_Cora_1128982 | Paper #1128982 has the title `Learning Recursive Sequences via Evolution of Machine-Language Programs
` and the abstract `We use directed search techniques in the space of computer programs to learn recursive sequences of positive integers. Specifically, the integer sequences of squares, x 2 ; cubes, x 3 ; factorial,... | This paper should be classified into: Genetic_Algorithms | [
"Above are papers related to the following paper: [Paper_ID] Paper #1128982. \t[Title] Learning Recursive Sequences via Evolution of Machine-Language Programs [Abstract] We use directed search techniques in the space of computer programs to learn recursive sequences of positive integers. Specifically, the integer s... | [
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Sample_from_Cora_1102646 | Paper #1102646 has the title `Learning in the Presence of Prior Knowledge: A Case Study Using Model Calibration
` and the abstract `Computational models of natural systems often contain free parameters that must be set to optimize the predictive accuracy of the models. This process|called calibration|can be viewed as... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #1102646. \t[Title] Learning in the Presence of Prior Knowledge: A Case Study Using Model Calibration [Abstract] Computational models of natural systems often contain free parameters that must be set to optimize the predictive accuracy of the models... | [
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Sample_from_Cora_38000 | Paper #38000 has the title `on Inductive Logic Programming (ILP-95) Inducing Logic Programs without Explicit Negative Examples
` and the abstract `This paper presents a method for learning logic programs without explicit negative examples by exploiting an assumption of output completeness. A mode declaration is suppl... | This paper should be classified into: Rule_Learning | [
"Above are papers related to the following paper: [Paper_ID] Paper #38000. \t[Title] on Inductive Logic Programming (ILP-95) Inducing Logic Programs without Explicit Negative Examples [Abstract] This paper presents a method for learning logic programs without explicit negative examples by exploiting an assumption o... | [
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Sample_from_Cora_417017 | Paper #417017 has the title `Relating Relational Learning Algorithms
` and the abstract `Relational learning algorithms are of special interest to members of the machine learning community; they offer practical methods for extending the representations used in algorithms that solve supervised learning tasks. Five app... | This paper should be classified into: Case_Based | [
"Above are papers related to the following paper: [Paper_ID] Paper #417017. \t[Title] Relating Relational Learning Algorithms [Abstract] Relational learning algorithms are of special interest to members of the machine learning community; they offer practical methods for extending the representations used in algorit... | [
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Sample_from_Cora_1115456 | Paper #1115456 has the title `Automatic Feature Extraction in Machine Learning
` and the abstract `This thesis presents a machine learning model capable of extracting discrete classes out of continuous valued input features. This is done using a neurally inspired novel competitive classifier (CC) which feeds the disc... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #1115456. \t[Title] Automatic Feature Extraction in Machine Learning [Abstract] This thesis presents a machine learning model capable of extracting discrete classes out of continuous valued input features. This is done using a neurally inspired nove... | [
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Sample_from_Cora_153063 | Paper #153063 has the title `Bayesian Forecasting of Multinomial Time Series through Conditionally Gaussian Dynamic Models
` and the abstract `Claudia Cargnoni is with the Dipartimento Statistico, Universita di Firenze, 50100 Firenze, Italy. Peter Muller is Assistant Professor, and Mike West is Professor, in the Inst... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #153063. \t[Title] Bayesian Forecasting of Multinomial Time Series through Conditionally Gaussian Dynamic Models [Abstract] Claudia Cargnoni is with the Dipartimento Statistico, Universita di Firenze, 50100 Firenze, Italy. Peter Muller is Assistant ... | [
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Sample_from_Cora_1999 | Paper #1999 has the title `WRAPPERS FOR PERFORMANCE ENHANCEMENT AND OBLIVIOUS DECISION GRAPHS
` and the abstract `nan`.
Question: Which category should Paper #1999 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning',... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #1999. \t[Title] WRAPPERS FOR PERFORMANCE ENHANCEMENT AND OBLIVIOUS DECISION GRAPHS [Abstract] Please summarise all the given information.",
"Above are papers related to the following paper: [Paper_ID] Paper #1107067. \t[Title] On the Greediness ... | [
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Sample_from_Cora_592975 | Paper #592975 has the title `Tackling the Boolean Even N Parity Problem with Genetic Programming and Limited-Error Fitness standard GP
` and the abstract `This paper presents Limited Error Fitness (LEF), a modification to the standard supervised learning approach in Genetic Programming (GP), in which an individual's fi... | This paper should be classified into: Genetic_Algorithms | [
"Above are papers related to the following paper: [Paper_ID] Paper #592975. \t[Title] Tackling the Boolean Even N Parity Problem with Genetic Programming and Limited-Error Fitness standard GP [Abstract] This paper presents Limited Error Fitness (LEF), a modification to the standard supervised learning approach in G... | [
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Sample_from_Cora_647408 | Paper #647408 has the title `Every Niching Method has its Niche: Fitness Sharing and Implicit Sharing Compared
` and the abstract `Various extensions to the Genetic Algorithm (GA) attempt to find all or most optima in a search space containing several optima. Many of these emulate natural speciation. For co-evolution... | This paper should be classified into: Genetic_Algorithms | [
"Above are papers related to the following paper: [Paper_ID] Paper #647408. \t[Title] Every Niching Method has its Niche: Fitness Sharing and Implicit Sharing Compared [Abstract] Various extensions to the Genetic Algorithm (GA) attempt to find all or most optima in a search space containing several optima. Many of ... | [
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Sample_from_Cora_1112650 | Paper #1112650 has the title `On Decision-Theoretic Foundations for Defaults
` and the abstract `In recent years, considerable effort has gone into understanding default reasoning. Most of this effort concentrated on the question of entailment, i.e., what conclusions are warranted by a knowledge-base of defaults. Sur... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #1112650. \t[Title] On Decision-Theoretic Foundations for Defaults [Abstract] In recent years, considerable effort has gone into understanding default reasoning. Most of this effort concentrated on the question of entailment, i.e., what conclusions ... | [
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Sample_from_Cora_28385 | Paper #28385 has the title `A Distributed Reinforcement Learning Scheme for Network Routing
` and the abstract `In this paper we describe a self-adjusting algorithm for packet routing in which a reinforcement learning method is embedded into each node of a network. Only local information is used at each node to keep ... | This paper should be classified into: Reinforcement_Learning | [
"Above are papers related to the following paper: [Paper_ID] Paper #28385. \t[Title] A Distributed Reinforcement Learning Scheme for Network Routing [Abstract] In this paper we describe a self-adjusting algorithm for packet routing in which a reinforcement learning method is embedded into each node of a network. On... | [
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Sample_from_Cora_6767 | Paper #6767 has the title `Generalizing from Case Studies: A Case Study
` and the abstract `Most empirical evaluations of machine learning algorithms are case studies evaluations of multiple algorithms on multiple databases. Authors of case studies implicitly or explicitly hypothesize that the pattern of their result... | This paper should be classified into: Case_Based | [
"Above are papers related to the following paper: [Paper_ID] Paper #6767. \t[Title] Generalizing from Case Studies: A Case Study [Abstract] Most empirical evaluations of machine learning algorithms are case studies evaluations of multiple algorithms on multiple databases. Authors of case studies implicitly or expli... | [
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Sample_from_Cora_1131195 | Paper #1131195 has the title `Simple Synchrony Networks: Learning Generalisations across Syntactic Constituents
` and the abstract `This paper describes a training algorithm for Simple Synchrony Networks (SSNs), and reports on experiments in language learning using a recursive grammar. The SSN is a new connectionist ... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #1131195. \t[Title] Simple Synchrony Networks: Learning Generalisations across Syntactic Constituents [Abstract] This paper describes a training algorithm for Simple Synchrony Networks (SSNs), and reports on experiments in language learning using a ... | [
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Sample_from_Cora_688824 | Paper #688824 has the title ``Balancing' of conductances may explain irregular cortical spiking.
` and the abstract `Five related factors are identified which enable single compartment Hodgkin-Huxley model neurons to convert random synaptic input into irregular spike trains similar to those seen in in vivo cortical r... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #688824. \t[Title] `Balancing' of conductances may explain irregular cortical spiking. [Abstract] Five related factors are identified which enable single compartment Hodgkin-Huxley model neurons to convert random synaptic input into irregular spike ... | [
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Sample_from_Cora_1153275 | Paper #1153275 has the title `nan` and the abstract `Tech Report 4-94 Department of Statistics, Open University, Walton Hall, MK7 6AA, UK Tech Report 205 Department of Computer Science, Monash University, Clayton, Vic. 3168, Australia Abstract: This paper examines the minimum encoding approaches to inference, Minimum M... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #1153275. \t[Title] [Abstract] Tech Report 4-94 Department of Statistics, Open University, Walton Hall, MK7 6AA, UK Tech Report 205 Department of Computer Science, Monash University, Clayton, Vic. 3168, Australia Abstract: This paper examines the m... | [
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Sample_from_Cora_38537 | Paper #38537 has the title `BAYESIAN STATISTICS 6, pp. 000--000 Exact sampling for Bayesian inference: towards general purpose algorithms
` and the abstract `There are now methods for organising a Markov chain Monte Carlo simulation so that it can be guaranteed that the state of the process at a given time is exactl... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #38537. \t[Title] BAYESIAN STATISTICS 6, pp. 000--000 Exact sampling for Bayesian inference: towards general purpose algorithms [Abstract] There are now methods for organising a Markov chain Monte Carlo simulation so that it can be guaranteed that ... | [
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Sample_from_Cora_189566 | Paper #189566 has the title `Introduction to the Special Section on Knowledge-Based Construction of Probabilistic and Decision Models (IEEE Transactions
` and the abstract `Modeling techniques developed recently in the AI and uncertain reasoning communities permit significantly more flexible specifications of probabili... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #189566. \t[Title] Introduction to the Special Section on Knowledge-Based Construction of Probabilistic and Decision Models (IEEE Transactions [Abstract] Modeling techniques developed recently in the AI and uncertain reasoning communities permit sig... | [
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Sample_from_Cora_1114992 | Paper #1114992 has the title `Analog Neural Nets with Gaussian or other Common Noise Distributions cannot Recognize Arbitrary Regular Languages
` and the abstract `We consider recurrent analog neural nets where the output of each gate is subject to Gaussian noise, or any other common noise distribution that is nonzer... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #1114992. \t[Title] Analog Neural Nets with Gaussian or other Common Noise Distributions cannot Recognize Arbitrary Regular Languages [Abstract] We consider recurrent analog neural nets where the output of each gate is subject to Gaussian noise, or ... | [
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Sample_from_Cora_202522 | Paper #202522 has the title `Constructing Computationally Efficient Bayesian Models via Unsupervised Clustering Probabilistic Reasoning and Bayesian Belief Networks,
` and the abstract `Given a set of samples of an unknown probability distribution, we study the problem of constructing a good approximative Bayesian n... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #202522. \t[Title] Constructing Computationally Efficient Bayesian Models via Unsupervised Clustering Probabilistic Reasoning and Bayesian Belief Networks, [Abstract] Given a set of samples of an unknown probability distribution, we study the probl... | [
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Sample_from_Cora_1063773 | Paper #1063773 has the title `A Gentle Guide to Multiple Alignment Version Please send comments, critique, flames and praise Instructions
` and the abstract `Prerequisites. An understanding of the dynamic programming (edit distance) approach to pairwise sequence alignment is useful for parts 1.3, 1.4, and 2. Also, fami... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #1063773. \t[Title] A Gentle Guide to Multiple Alignment Version Please send comments, critique, flames and praise Instructions [Abstract] Prerequisites. An understanding of the dynamic programming (edit distance) approach to pairwise sequence align... | [
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Sample_from_Cora_198866 | Paper #198866 has the title `Using Knowledge of Cognitive Behavior to Learn from Failure
` and the abstract `When learning from reasoning failures, knowledge of how a system behaves is a powerful lever for deciding what went wrong with the system and in deciding what the system needs to learn. A number of benefits ar... | This paper should be classified into: Case_Based | [
"Above are papers related to the following paper: [Paper_ID] Paper #198866. \t[Title] Using Knowledge of Cognitive Behavior to Learn from Failure [Abstract] When learning from reasoning failures, knowledge of how a system behaves is a powerful lever for deciding what went wrong with the system and in deciding what ... | [
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Sample_from_Cora_147870 | Paper #147870 has the title `Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics
` and the abstract `We present a method for the unsupervised segmentation of data streams originating from different unknown sources which alternate in time. We use an architecture consisting of co... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #147870. \t[Title] Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics [Abstract] We present a method for the unsupervised segmentation of data streams originating from different unknown sources which alternat... | [
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Sample_from_Cora_1153879 | Paper #1153879 has the title `Role of Stories 1
` and the abstract `PO Box 600 Wellington New Zealand Tel: +64 4 471 5328 Fax: +64 4 495 5232 Internet: Tech.Reports@comp.vuw.ac.nz Technical Report CS-TR-92/4 October 1992 Abstract People often give advice by telling stories. Stories both recommend a course of action a... | This paper should be classified into: Case_Based | [
"Above are papers related to the following paper: [Paper_ID] Paper #1153879. \t[Title] Role of Stories 1 [Abstract] PO Box 600 Wellington New Zealand Tel: +64 4 471 5328 Fax: +64 4 495 5232 Internet: Tech.Reports@comp.vuw.ac.nz Technical Report CS-TR-92/4 October 1992 Abstract People often give advice by telling st... | [
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Sample_from_Cora_10169 | Paper #10169 has the title `Learning Boolean Concepts in the Presence of Many Irrelevant Features
` and the abstract `nan`.
Question: Which category should Paper #10169 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learn... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #10169. \t[Title] Learning Boolean Concepts in the Presence of Many Irrelevant Features [Abstract] Please summarise all the given information.",
"Above are papers related to the following paper: [Paper_ID] Paper #249858. \t[Title] 25 Learning in ... | [
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Sample_from_Cora_18777 | Paper #18777 has the title `A Tutorial on Learning With Bayesian Networks
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Question: Which category should Paper #18777 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_L... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #18777. \t[Title] A Tutorial on Learning With Bayesian Networks [Abstract] Technical Report MSR-TR-95-06 Please summarise all the given information.",
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Sample_from_Cora_131318 | Paper #131318 has the title `FLAT MINIMA Neural Computation 9(1):1-42 (1997)
` and the abstract `We present a new algorithm for finding low complexity neural networks with high generalization capability. The algorithm searches for a "flat" minimum of the error function. A flat minimum is a large connected region in w... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #131318. \t[Title] FLAT MINIMA Neural Computation 9(1):1-42 (1997) [Abstract] We present a new algorithm for finding low complexity neural networks with high generalization capability. The algorithm searches for a \"flat\" minimum of the error funct... | [
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Sample_from_Cora_1119654 | Paper #1119654 has the title `A Computational Account of Movement Learning and its Impact on the Speed-Accuracy Tradeoff
` and the abstract `We present a computational model of movement skill learning. The types of skills addressed are a class of trajectory following movements involving multiple accelerations, decele... | This paper should be classified into: Case_Based | [
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Sample_from_Cora_1118347 | Paper #1118347 has the title `Even with Arbitrary Transfer Functions, RCC Cannot Compute Certain FSA
` and the abstract `Category: algorithms and architectures | recurrent networks. No part of this paper has been submitted elsewhere. Preference: poster. Abstract Existing proofs demonstrating the computational limitat... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #1118347. \t[Title] Even with Arbitrary Transfer Functions, RCC Cannot Compute Certain FSA [Abstract] Category: algorithms and architectures | recurrent networks. No part of this paper has been submitted elsewhere. Preference: poster. Abstract Exist... | [
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Sample_from_Cora_10174 | Paper #10174 has the title `Knowing What Doesn't Matter: Exploiting Omitted Superfluous Data
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"Above are papers related to the following paper: [Paper_ID] Paper #10174. \t[Title] Knowing What Doesn't Matter: Exploiting Omitted Superfluous Data [Abstract] Most inductive inference algorithms (i.e., \"learners\") work most effectively when their training data contain completely specified labeled samples. In ma... | [
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Sample_from_Cora_101662 | Paper #101662 has the title `Learning from positive data
` and the abstract `Gold showed in 1967 that not even regular grammars can be exactly identified from positive examples alone. Since it is known that children learn natural grammars almost exclusively from positives examples, Gold's result has been used as a th... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #101662. \t[Title] Learning from positive data [Abstract] Gold showed in 1967 that not even regular grammars can be exactly identified from positive examples alone. Since it is known that children learn natural grammars almost exclusively from posit... | [
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Sample_from_Cora_1131167 | Paper #1131167 has the title `Decision Analysis by Augmented Probability Simulation
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"Above are papers related to the following paper: [Paper_ID] Paper #1131167. \t[Title] Decision Analysis by Augmented Probability Simulation [Abstract] We provide a generic Monte Carlo method to find the alternative of maximum expected utility in a decision analysis. We define an artificial distribution on the prod... | [
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Sample_from_Cora_217984 | Paper #217984 has the title `Analyzing Phase Transitions in High-Dimensional Self-Organizing Maps
` and the abstract `The Self-Organizing Map (SOM), a widely used algorithm for the unsupervised learning of neural maps, can be formulated in a low-dimensional "feature map" variant which requires prespecified parameters... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #217984. \t[Title] Analyzing Phase Transitions in High-Dimensional Self-Organizing Maps [Abstract] The Self-Organizing Map (SOM), a widely used algorithm for the unsupervised learning of neural maps, can be formulated in a low-dimensional \"feature ... | [
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Sample_from_Cora_17201 | Paper #17201 has the title `Learning policies for partially observable environments: Scaling up
` and the abstract `Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor feedback. While the study of po... | This paper should be classified into: Reinforcement_Learning | [
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Sample_from_Cora_248823 | Paper #248823 has the title `Learning Roles: Behavioral Diversity in Robot Teams
` and the abstract `This paper describes research investigating behavioral specialization in learning robot teams. Each agent is provided a common set of skills (motor schema-based behavioral assemblages) from which it builds a task-achi... | This paper should be classified into: Reinforcement_Learning | [
"Above are papers related to the following paper: [Paper_ID] Paper #248823. \t[Title] Learning Roles: Behavioral Diversity in Robot Teams [Abstract] This paper describes research investigating behavioral specialization in learning robot teams. Each agent is provided a common set of skills (motor schema-based behavi... | [
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Sample_from_Cora_13686 | Paper #13686 has the title `Framework for Combining Symbolic and Neural Learning rule extraction from neural networks the KBANN algorithm
` and the abstract `Technical Report 1123, Computer Sciences Department, University of Wisconsin - Madison, Nov. 1992 ABSTRACT This article describes an approach to combining symboli... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #13686. \t[Title] Framework for Combining Symbolic and Neural Learning rule extraction from neural networks the KBANN algorithm [Abstract] Technical Report 1123, Computer Sciences Department, University of Wisconsin - Madison, Nov. 1992 ABSTRACT Thi... | [
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Sample_from_Cora_1116594 | Paper #1116594 has the title `ASOCS: A Multilayered Connectionist Network with Guaranteed Learning of Arbitrary Mappings
` and the abstract `This paper reviews features of a new class of multilayer connectionist architectures known as ASOCS (Adaptive Self-Organizing Concurrent Systems). ASOCS is similar to most decis... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #1116594. \t[Title] ASOCS: A Multilayered Connectionist Network with Guaranteed Learning of Arbitrary Mappings [Abstract] This paper reviews features of a new class of multilayer connectionist architectures known as ASOCS (Adaptive Self-Organizing C... | [
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Sample_from_Cora_696345 | Paper #696345 has the title `SELF-ADAPTIVE NEURAL NETWORKS FOR BLIND SEPARATION OF SOURCES
` and the abstract `Novel on-line learning algorithms with self adaptive learning rates (parameters) for blind separation of signals are proposed. The main motivation for development of new learning rules is to improve converge... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #696345. \t[Title] SELF-ADAPTIVE NEURAL NETWORKS FOR BLIND SEPARATION OF SOURCES [Abstract] Novel on-line learning algorithms with self adaptive learning rates (parameters) for blind separation of signals are proposed. The main motivation for develo... | [
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Sample_from_Cora_17476 | Paper #17476 has the title `Markov games as a framework for multi-agent reinforcement learning
` and the abstract `In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function. In this solipsistic vie... | This paper should be classified into: Reinforcement_Learning | [
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Sample_from_Cora_20526 | Paper #20526 has the title `Self-Improving Factory Simulation using Continuous-time Average-Reward Reinforcement Learning
` and the abstract `Many factory optimization problems, from inventory control to scheduling and reliability, can be formulated as continuous-time Markov decision processes. A primary goal in such... | This paper should be classified into: Reinforcement_Learning | [
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Sample_from_Cora_648369 | Paper #648369 has the title `Toward a unified theory of spatiotemporal processing in the retina
` and the abstract `nan`.
Question: Which category should Paper #648369 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learni... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #648369. \t[Title] Toward a unified theory of spatiotemporal processing in the retina [Abstract] Please summarise all the given information.",
"Above are papers related to the following paper: [Paper_ID] Paper #1131414. \t[Title] PUSH-PULL SHUNTI... | [
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Sample_from_Cora_307015 | Paper #307015 has the title `Optimal Mutation Rates in Genetic Search
` and the abstract `The optimization of a single bit string by means of iterated mutation and selection of the best (a (1+1)-Genetic Algorithm) is discussed with respect to three simple fitness functions: The counting ones problem, a standard binar... | This paper should be classified into: Genetic_Algorithms | [
"Above are papers related to the following paper: [Paper_ID] Paper #307015. \t[Title] Optimal Mutation Rates in Genetic Search [Abstract] The optimization of a single bit string by means of iterated mutation and selection of the best (a (1+1)-Genetic Algorithm) is discussed with respect to three simple fitness func... | [
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Sample_from_Cora_101143 | Paper #101143 has the title `Issues in Goal-Driven Explanation
` and the abstract `When a reasoner explains surprising events for its internal use, a key motivation for explaining is to perform learning that will facilitate the achievement of its goals. Human explainers use a range of strategies to build explanations... | This paper should be classified into: Case_Based | [
"Above are papers related to the following paper: [Paper_ID] Paper #101143. \t[Title] Issues in Goal-Driven Explanation [Abstract] When a reasoner explains surprising events for its internal use, a key motivation for explaining is to perform learning that will facilitate the achievement of its goals. Human explaine... | [
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Sample_from_Cora_1127812 | Paper #1127812 has the title `Meter as Mechanism: A Neural Network that Learns Metrical Patterns
` and the abstract `One kind of prosodic structure that apparently underlies both music and language is meter. Yet detailed measurements of both music and speech show that the nested periodicities that define metrical str... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #1127812. \t[Title] Meter as Mechanism: A Neural Network that Learns Metrical Patterns [Abstract] One kind of prosodic structure that apparently underlies both music and language is meter. Yet detailed measurements of both music and speech show that... | [
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Sample_from_Cora_1026 | Paper #1026 has the title `Genes, Phenes and the Baldwin Effect: Learning and Evolution in a Simulated Population
` and the abstract `The Baldwin Effect, first proposed in the late nineteenth century, suggests that the course of evolutionary change can be influenced by individually learned behavior. The existence of ... | This paper should be classified into: Genetic_Algorithms | [
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Sample_from_Cora_644843 | Paper #644843 has the title `Perfect Simulation of some Point Processes for the Impatient User
` and the abstract `Recently Propp and Wilson [14] have proposed an algorithm, called Coupling from the Past (CFTP), which allows not only an approximate but perfect (i.e. exact) simulation of the stationary distribution of... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #644843. \t[Title] Perfect Simulation of some Point Processes for the Impatient User [Abstract] Recently Propp and Wilson [14] have proposed an algorithm, called Coupling from the Past (CFTP), which allows not only an approximate but perfect (i.e. e... | [
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Sample_from_Cora_284414 | Paper #284414 has the title `BRACE: A Paradigm For the Discretization of Continuously Valued Data
` and the abstract `Discretization of continuously valued data is a useful and necessary tool because many learning paradigms assume nominal data. A list of objectives for efficient and effective discretization is presen... | This paper should be classified into: Case_Based | [
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[
... |
Sample_from_Cora_854434 | Paper #854434 has the title `Predicting Lifetimes in Dynamically Allocated Memory
` and the abstract `Predictions of lifetimes of dynamically allocated objects can be used to improve time and space efficiency of dynamic memory management in computer programs. Barrett and Zorn [1993] used a simple lifetime predictor a... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #854434. \t[Title] Predicting Lifetimes in Dynamically Allocated Memory [Abstract] Predictions of lifetimes of dynamically allocated objects can be used to improve time and space efficiency of dynamic memory management in computer programs. Barrett ... | [
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[
5,
6,... |
Sample_from_Cora_59715 | Paper #59715 has the title `Genetic Programming Exploratory Power and the Discovery of Functions
` and the abstract `Hierarchical genetic programming (HGP) approaches rely on the discovery, modification, and use of new functions to accelerate evolution. This paper provides a qualitative explanation of the improved be... | This paper should be classified into: Genetic_Algorithms | [
"Above are papers related to the following paper: [Paper_ID] Paper #59715. \t[Title] Genetic Programming Exploratory Power and the Discovery of Functions [Abstract] Hierarchical genetic programming (HGP) approaches rely on the discovery, modification, and use of new functions to accelerate evolution. This paper pro... | [
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Sample_from_Cora_6311 | Paper #6311 has the title `Dynamic Automatic Model Selection
` and the abstract `COINS Technical Report 92-30 February 1992 Abstract The problem of how to learn from examples has been studied throughout the history of machine learning, and many successful learning algorithms have been developed. A problem that has re... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #6311. \t[Title] Dynamic Automatic Model Selection [Abstract] COINS Technical Report 92-30 February 1992 Abstract The problem of how to learn from examples has been studied throughout the history of machine learning, and many successful learning alg... | [
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Sample_from_Cora_103543 | Paper #103543 has the title `Markov Chain Monte Carlo Methods Based on `Slicing' the Density Function
` and the abstract `Technical Report No. 9722, Department of Statistics, University of Toronto Abstract. One way to sample from a distribution is to sample uniformly from the region under the plot of its density func... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #103543. \t[Title] Markov Chain Monte Carlo Methods Based on `Slicing' the Density Function [Abstract] Technical Report No. 9722, Department of Statistics, University of Toronto Abstract. One way to sample from a distribution is to sample uniformly ... | [
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Sample_from_Cora_1109566 | Paper #1109566 has the title `Classification Using -Machines and Constructive Function Approximation
` and the abstract `The classification algorithm CLEF combines a version of a linear machine known as a - machine with a non-linear function approxima-tor that constructs its own features. The algorithm finds non-line... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #1109566. \t[Title] Classification Using -Machines and Constructive Function Approximation [Abstract] The classification algorithm CLEF combines a version of a linear machine known as a - machine with a non-linear function approxima-tor that constru... | [
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Sample_from_Cora_51180 | Paper #51180 has the title `On the Learnability and Usage of Acyclic Probabilistic Finite Automata
` and the abstract `We propose and analyze a distribution learning algorithm for a subclass of Acyclic Probabilistic Finite Automata (APFA). This subclass is characterized by a certain distinguishability property of the... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #51180. \t[Title] On the Learnability and Usage of Acyclic Probabilistic Finite Automata [Abstract] We propose and analyze a distribution learning algorithm for a subclass of Acyclic Probabilistic Finite Automata (APFA). This subclass is characteriz... | [
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Sample_from_Cora_1128542 | Paper #1128542 has the title `Knowledge Integration and Rule Extraction in Neural Networks Ph.D. Proposal
` and the abstract `nan`.
Question: Which category should Paper #1128542 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', '... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #1128542. \t[Title] Knowledge Integration and Rule Extraction in Neural Networks Ph.D. Proposal [Abstract] Please summarise all the given information.",
"Above are papers related to the following paper: [Paper_ID] Paper #66594. \t[Title] Automati... | [
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Sample_from_Cora_1104787 | Paper #1104787 has the title `Fault-Tolerant Implementation of Finite-State Automata in Recurrent Neural Networks
` and the abstract `Recently, we have proven that the dynamics of any deterministic finite-state automata (DFA) with n states and m input symbols can be implemented in a sparse second-order recurrent neur... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #1104787. \t[Title] Fault-Tolerant Implementation of Finite-State Automata in Recurrent Neural Networks [Abstract] Recently, we have proven that the dynamics of any deterministic finite-state automata (DFA) with n states and m input symbols can be i... | [
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Sample_from_Cora_144330 | Paper #144330 has the title `Utilizing Prior Concepts for Learning
` and the abstract `The inductive learning problem consists of learning a concept given examples and non-examples of the concept. To perform this learning task, inductive learning algorithms bias their learning method. Here we discuss biasing the lear... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #144330. \t[Title] Utilizing Prior Concepts for Learning [Abstract] The inductive learning problem consists of learning a concept given examples and non-examples of the concept. To perform this learning task, inductive learning algorithms bias their... | [
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Sample_from_Cora_95586 | Paper #95586 has the title `Roles of Macro-Actions in Accelerating Reinforcement Learning
` and the abstract `We analyze the use of built-in policies, or macro-actions, as a form of domain knowledge that can improve the speed and scaling of reinforcement learning algorithms. Such macro-actions are often used in robot... | This paper should be classified into: Reinforcement_Learning | [
"Above are papers related to the following paper: [Paper_ID] Paper #95586. \t[Title] Roles of Macro-Actions in Accelerating Reinforcement Learning [Abstract] We analyze the use of built-in policies, or macro-actions, as a form of domain knowledge that can improve the speed and scaling of reinforcement learning algo... | [
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Sample_from_Cora_429781 | Paper #429781 has the title `Mistake-Driven Learning in Text Categorization
` and the abstract `Learning problems in the text processing domain often map the text to a space whose dimensions are the measured features of the text, e.g., its words. Three characteristic properties of this domain are (a) very high dimens... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #429781. \t[Title] Mistake-Driven Learning in Text Categorization [Abstract] Learning problems in the text processing domain often map the text to a space whose dimensions are the measured features of the text, e.g., its words. Three characteristic ... | [
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Sample_from_Cora_100935 | Paper #100935 has the title `Distribution Category: Users Guide to the PGAPack Parallel Genetic Algorithm Library
` and the abstract `nan`.
Question: Which category should Paper #100935 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Met... | This paper should be classified into: Genetic_Algorithms | [
"Above are papers related to the following paper: [Paper_ID] Paper #100935. \t[Title] Distribution Category: Users Guide to the PGAPack Parallel Genetic Algorithm Library [Abstract] Please summarise all the given information.",
"Above are papers related to the following paper: [Paper_ID] Paper #1120643. \t[Titl... | [
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Sample_from_Cora_348437 | Paper #348437 has the title `Learning First-Order Acyclic Horn Programs from Entailment
` and the abstract `In this paper, we consider learning first-order Horn programs from entailment. In particular, we show that any subclass of first-order acyclic Horn programs with constant arity is exactly learnable from equival... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #348437. \t[Title] Learning First-Order Acyclic Horn Programs from Entailment [Abstract] In this paper, we consider learning first-order Horn programs from entailment. In particular, we show that any subclass of first-order acyclic Horn programs wit... | [
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7,... |
Sample_from_Cora_131042 | Paper #131042 has the title `Efficient Implementation of Gaussian Processes
` and the abstract `Neural networks and Bayesian inference provide a useful framework within which to solve regression problems. However their parameterization means that the Bayesian analysis of neural networks can be difficult. In this pape... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #131042. \t[Title] Efficient Implementation of Gaussian Processes [Abstract] Neural networks and Bayesian inference provide a useful framework within which to solve regression problems. However their parameterization means that the Bayesian analysis... | [
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Sample_from_Cora_1111052 | Paper #1111052 has the title `Robust Value Function Approximation by Working Backwards Computing an accurate value function is the key
` and the abstract `In this paper, we examine the intuition that TD() is meant to operate by approximating asynchronous value iteration. We note that on the important class of discrete ... | This paper should be classified into: Reinforcement_Learning | [
"Above are papers related to the following paper: [Paper_ID] Paper #1111052. \t[Title] Robust Value Function Approximation by Working Backwards Computing an accurate value function is the key [Abstract] In this paper, we examine the intuition that TD() is meant to operate by approximating asynchronous value iterati... | [
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Sample_from_Cora_192850 | Paper #192850 has the title `Characterizing the generalization performance of model selection strategies
` and the abstract `We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential aspects of a model selection task by the bias and vari... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #192850. \t[Title] Characterizing the generalization performance of model selection strategies [Abstract] We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential aspe... | [
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Sample_from_Cora_238099 | Paper #238099 has the title `Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail
` and the abstract `This paper presents first results of an interdisciplinary project in scientific data mining. We analyze data about the carcinogenicity of chemicals derived from the carcinogenesis bio... | This paper should be classified into: Rule_Learning | [
"Above are papers related to the following paper: [Paper_ID] Paper #238099. \t[Title] Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail [Abstract] This paper presents first results of an interdisciplinary project in scientific data mining. We analyze data about the carcinogenicit... | [
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[
4,
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Sample_from_Cora_167205 | Paper #167205 has the title `Space-Time Scheduling of Instruction-Level Parallelism on a Raw Machine
` and the abstract `Advances in VLSI technology will enable chips with over a billion transistors within the next decade. Unfortunately, the centralized-resource architectures of modern microprocessors are ill-suited ... | This paper should be classified into: Rule_Learning | [
"Above are papers related to the following paper: [Paper_ID] Paper #167205. \t[Title] Space-Time Scheduling of Instruction-Level Parallelism on a Raw Machine [Abstract] Advances in VLSI technology will enable chips with over a billion transistors within the next decade. Unfortunately, the centralized-resource archi... | [
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[
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[
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[]
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Sample_from_Cora_36167 | Paper #36167 has the title `Category: Control, Navigation and Planning Preference: Oral presentation Exploiting Model Uncertainty Estimates for Safe Dynamic
` and the abstract `Model learning combined with dynamic programming has been shown to be effective for learning control of continuous state dynamic systems. The s... | This paper should be classified into: Reinforcement_Learning | [
"Above are papers related to the following paper: [Paper_ID] Paper #36167. \t[Title] Category: Control, Navigation and Planning Preference: Oral presentation Exploiting Model Uncertainty Estimates for Safe Dynamic [Abstract] Model learning combined with dynamic programming has been shown to be effective for learnin... | [
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Sample_from_Cora_128202 | Paper #128202 has the title `Learning rules with local exceptions
` and the abstract `We present a learning algorithm for rule-based concept representations called ripple-down rule sets. Ripple-down rule sets allow us to deal with the exceptions for each rule separately by introducing exception rules, exception rules... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #128202. \t[Title] Learning rules with local exceptions [Abstract] We present a learning algorithm for rule-based concept representations called ripple-down rule sets. Ripple-down rule sets allow us to deal with the exceptions for each rule separate... | [
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[
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3
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Sample_from_Cora_686061 | Paper #686061 has the title `An Algorithm for Active Data Collection for Learning Feasibility Study with Neural Networks.
` and the abstract `Macquarie University Technical Report No. 95-173C Department of Computing School of MPCE, Macquarie University, New South Wales, Australia
`.
Question: Which category should P... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #686061. \t[Title] An Algorithm for Active Data Collection for Learning Feasibility Study with Neural Networks. [Abstract] Macquarie University Technical Report No. 95-173C Department of Computing School of MPCE, Macquarie University, New South Wale... | [
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Sample_from_Cora_1114777 | Paper #1114777 has the title `The Case for Graph-Structured Representations
` and the abstract `Case-based reasoning involves reasoning from cases: specific pieces of experience, the reasoner's or another's, that can be used to solve problems. We use the term "graph-structured" for representations that (1) are capabl... | This paper should be classified into: Case_Based | [
"Above are papers related to the following paper: [Paper_ID] Paper #1114777. \t[Title] The Case for Graph-Structured Representations [Abstract] Case-based reasoning involves reasoning from cases: specific pieces of experience, the reasoner's or another's, that can be used to solve problems. We use the term \"graph-... | [
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Sample_from_Cora_594119 | Paper #594119 has the title `A Methodology for Strategy Optimization Under Uncertainty in the Extended Two-Dimensional Pursuer/Evader Problem
` and the abstract `
`.
Question: Which category should Paper #594119 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Lea... | This paper should be classified into: Genetic_Algorithms | [
"Above are papers related to the following paper: [Paper_ID] Paper #594119. \t[Title] A Methodology for Strategy Optimization Under Uncertainty in the Extended Two-Dimensional Pursuer/Evader Problem [Abstract] Please summarise all the given information.",
"Above are papers related to the following paper: [Paper_... | [
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] | [
[
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Sample_from_Cora_633081 | Paper #633081 has the title `Minimax Risk over l p -Balls for l q -error Key Words. Minimax Decision Theory.
` and the abstract `Consider estimating the mean vector from data N n (; 2 I) with l q norm loss, q 1, when is known to lie in an n-dimensional l p ball, p 2 (0; 1). For large n, the ratio of minimax linear risk... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #633081. \t[Title] Minimax Risk over l p -Balls for l q -error Key Words. Minimax Decision Theory. [Abstract] Consider estimating the mean vector from data N n (; 2 I) with l q norm loss, q 1, when is known to lie in an n-dimensional l p ball, p 2 (... | [
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Sample_from_Cora_6910 | Paper #6910 has the title `Smoothing Spline ANOVA for Exponential Families, with Application to the Wisconsin Epidemiological Study of Diabetic
` and the abstract `nan`.
Question: Which category should Paper #6910 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Lear... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #6910. \t[Title] Smoothing Spline ANOVA for Exponential Families, with Application to the Wisconsin Epidemiological Study of Diabetic [Abstract] Please summarise all the given information.",
"Above are papers related to the following paper: [Pape... | [
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Sample_from_Cora_739280 | Paper #739280 has the title `A Performance Analysis of the CNS-1 on Large, Dense Backpropagation Networks Connectionist Network Supercomputer
` and the abstract `We determine in this study the sustained performance of the CNS-1 during training and evaluation of large multilayered feedforward neural networks. Using a ... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #739280. \t[Title] A Performance Analysis of the CNS-1 on Large, Dense Backpropagation Networks Connectionist Network Supercomputer [Abstract] We determine in this study the sustained performance of the CNS-1 during training and evaluation of large ... | [
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Sample_from_Cora_102879 | Paper #102879 has the title `Learning under persistent drift
` and the abstract `In this paper we study learning algorithms for environments which are changing over time. Unlike most previous work, we are interested in the case where the changes might be rapid but their "direction" is relatively constant. We model th... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #102879. \t[Title] Learning under persistent drift [Abstract] In this paper we study learning algorithms for environments which are changing over time. Unlike most previous work, we are interested in the case where the changes might be rapid but the... | [
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Sample_from_Cora_682815 | Paper #682815 has the title `The Role of Development in Genetic Algorithms
` and the abstract `Technical Report Number CS94-394 Computer Science and Engineering, U.C.S.D. Abstract The developmental mechanisms transforming genotypic to phenotypic forms are typically omitted in formulations of genetic algorithms (GAs) ... | This paper should be classified into: Genetic_Algorithms | [
"Above are papers related to the following paper: [Paper_ID] Paper #682815. \t[Title] The Role of Development in Genetic Algorithms [Abstract] Technical Report Number CS94-394 Computer Science and Engineering, U.C.S.D. Abstract The developmental mechanisms transforming genotypic to phenotypic forms are typically om... | [
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Sample_from_Cora_202639 | Paper #202639 has the title `PREDICTING SUNSPOTS AND EXCHANGE RATES WITH CONNECTIONIST NETWORKS
` and the abstract `We investigate the effectiveness of connectionist networks for predicting the future continuation of temporal sequences. The problem of overfitting, particularly serious for short records of noisy data,... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #202639. \t[Title] PREDICTING SUNSPOTS AND EXCHANGE RATES WITH CONNECTIONIST NETWORKS [Abstract] We investigate the effectiveness of connectionist networks for predicting the future continuation of temporal sequences. The problem of overfitting, par... | [
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Sample_from_Cora_102938 | Paper #102938 has the title `A Neural Network Architecture for High-Speed Database Query Processing
` and the abstract `Artificial neural networks (ANN), due to their inherent parallelism and potential fault tolerance, offer an attractive paradigm for robust and efficient implementations of large modern database and ... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #102938. \t[Title] A Neural Network Architecture for High-Speed Database Query Processing [Abstract] Artificial neural networks (ANN), due to their inherent parallelism and potential fault tolerance, offer an attractive paradigm for robust and effic... | [
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Sample_from_Cora_1035 | Paper #1035 has the title `EVOLVING SENSORS IN ENVIRONMENTS OF CONTROLLED COMPLEXITY
` and the abstract `1 . Sensors represent a crucial link between the evolutionary forces shaping a species' relationship with its environment, and the individual's cognitive abilities to behave and learn. We report on experiments usi... | This paper should be classified into: Reinforcement_Learning | [
"Above are papers related to the following paper: [Paper_ID] Paper #1035. \t[Title] EVOLVING SENSORS IN ENVIRONMENTS OF CONTROLLED COMPLEXITY [Abstract] 1 . Sensors represent a crucial link between the evolutionary forces shaping a species' relationship with its environment, and the individual's cognitive abilities... | [
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Sample_from_Cora_70442 | Paper #70442 has the title `Learning to Predict User Operations for Adaptive Scheduling
` and the abstract `Mixed-initiative systems present the challenge of finding an effective level of interaction between humans and computers. Machine learning presents a promising approach to this problem in the form of systems th... | This paper should be classified into: Case_Based | [
"Above are papers related to the following paper: [Paper_ID] Paper #70442. \t[Title] Learning to Predict User Operations for Adaptive Scheduling [Abstract] Mixed-initiative systems present the challenge of finding an effective level of interaction between humans and computers. Machine learning presents a promising ... | [
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Sample_from_Cora_59798 | Paper #59798 has the title `PATTERN RECOGNITION VIA LINEAR PROGRAMMING THEORY AND APPLICATION TO MEDICAL DIAGNOSIS
` and the abstract `A decision problem associated with a fundamental nonconvex model for linearly inseparable pattern sets is shown to be NP-complete. Another nonconvex model that employs an 1 norm inste... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #59798. \t[Title] PATTERN RECOGNITION VIA LINEAR PROGRAMMING THEORY AND APPLICATION TO MEDICAL DIAGNOSIS [Abstract] A decision problem associated with a fundamental nonconvex model for linearly inseparable pattern sets is shown to be NP-complete. An... | [
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Sample_from_Cora_1134346 | Paper #1134346 has the title `group, and despite having just 337 subjects, the study strongly supports Identification of causal effects
` and the abstract `Figure 8a and Figure 8b show the prior distribution over f(-CR ) that follows from the flat prior and the skewed prior, respectively. Figure 8c and Figure 8d show t... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #1134346. \t[Title] group, and despite having just 337 subjects, the study strongly supports Identification of causal effects [Abstract] Figure 8a and Figure 8b show the prior distribution over f(-CR ) that follows from the flat prior and the skewed... | [
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Sample_from_Cora_1061127 | Paper #1061127 has the title `Applications of machine learning: a medical follow up study
` and the abstract `This paper describes preliminary work that aims to apply some learning strategies to a medical follow-up study. An investigation of the application of three machine learning algorithms-1R, FOIL and InductH to... | This paper should be classified into: Rule_Learning | [
"Above are papers related to the following paper: [Paper_ID] Paper #1061127. \t[Title] Applications of machine learning: a medical follow up study [Abstract] This paper describes preliminary work that aims to apply some learning strategies to a medical follow-up study. An investigation of the application of three m... | [
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Sample_from_Cora_1126050 | Paper #1126050 has the title `The Role of Transfer in Learning (extended abstract)
` and the abstract `nan`.
Question: Which category should Paper #1126050 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Geneti... | This paper should be classified into: Reinforcement_Learning | [
"Above are papers related to the following paper: [Paper_ID] Paper #1126050. \t[Title] The Role of Transfer in Learning (extended abstract) [Abstract] Please summarise all the given information.",
"Above are papers related to the following paper: [Paper_ID] Paper #93318. \t[Title] Discovering Structure in Multip... | [
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Sample_from_Cora_12439 | Paper #12439 has the title `Improving the Performance of Radial Basis Function Networks by Learning Center Locations
` and the abstract `nan`.
Question: Which category should Paper #12439 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Me... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #12439. \t[Title] Improving the Performance of Radial Basis Function Networks by Learning Center Locations [Abstract] Please summarise all the given information.",
"Above are papers related to the following paper: [Paper_ID] Paper #1114118. \t[Ti... | [
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Sample_from_Cora_210871 | Paper #210871 has the title `Coevolving High-Level Representations
` and the abstract `nan`.
Question: Which category should Paper #210871 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].
| This paper should be classified into: Genetic_Algorithms | [
"Above are papers related to the following paper: [Paper_ID] Paper #210871. \t[Title] Coevolving High-Level Representations [Abstract] Please summarise all the given information.",
"Above are papers related to the following paper: [Paper_ID] Paper #1128453. \t[Title] An Adaptive Penalty Approach for Constrained ... | [
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Sample_from_Cora_3220 | Paper #3220 has the title `A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features
` and the abstract `In the past, nearest neighbor algorithms for learning from examples have worked best in domains in which all features had numeric values. In such domains, the examples can be treated as points and ... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #3220. \t[Title] A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features [Abstract] In the past, nearest neighbor algorithms for learning from examples have worked best in domains in which all features had numeric values. In such d... | [
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Sample_from_Cora_50807 | Paper #50807 has the title `Unsupervised Learning with the Soft-Means Algorithm
` and the abstract `This note describes a useful adaptation of the `peak seeking' regime used in unsupervised learning processes such as competitive learning and `k-means'. The adaptation enables the learning to capture low-order probabil... | This paper should be classified into: Genetic_Algorithms | [
"Above are papers related to the following paper: [Paper_ID] Paper #50807. \t[Title] Unsupervised Learning with the Soft-Means Algorithm [Abstract] This note describes a useful adaptation of the `peak seeking' regime used in unsupervised learning processes such as competitive learning and `k-means'. The adaptation ... | [
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Sample_from_Cora_687401 | Paper #687401 has the title `TURING COMPUTABILITY WITH NEURAL NETS
` and the abstract `This paper shows the existence of a finite neural network, made up of sigmoidal neurons, which simulates a universal Turing machine. It is composed of less than 10 5 synchronously evolving processors, interconnected linearly. High-... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #687401. \t[Title] TURING COMPUTABILITY WITH NEURAL NETS [Abstract] This paper shows the existence of a finite neural network, made up of sigmoidal neurons, which simulates a universal Turing machine. It is composed of less than 10 5 synchronously e... | [
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Sample_from_Cora_211906 | Paper #211906 has the title `Generalizations of the Bias/Variance Decomposition for Prediction Error
` and the abstract `The bias and variance of a real valued random variable, using squared error loss, are well understood. However because of recent developments in classification techniques it has become desirable to... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #211906. \t[Title] Generalizations of the Bias/Variance Decomposition for Prediction Error [Abstract] The bias and variance of a real valued random variable, using squared error loss, are well understood. However because of recent developments in cl... | [
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Sample_from_Cora_1154068 | Paper #1154068 has the title `Bayesian MARS
` and the abstract `A Bayesian approach to multivariate adaptive regression spline (MARS) fitting (Friedman, 1991) is proposed. This takes the form of a probability distribution over the space of possible MARS models which is explored using reversible jump Markov chain Mont... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #1154068. \t[Title] Bayesian MARS [Abstract] A Bayesian approach to multivariate adaptive regression spline (MARS) fitting (Friedman, 1991) is proposed. This takes the form of a probability distribution over the space of possible MARS models which i... | [
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Sample_from_Cora_397488 | Paper #397488 has the title `Fast EquiPartitioning of Rectangular Domains using Stripe Decomposition
` and the abstract `This paper presents a fast algorithm that provides optimal or near optimal solutions to the minimum perimeter problem on a rectangular grid. The minimum perimeter problem is to partition a grid of ... | This paper should be classified into: Genetic_Algorithms | [
"Above are papers related to the following paper: [Paper_ID] Paper #397488. \t[Title] Fast EquiPartitioning of Rectangular Domains using Stripe Decomposition [Abstract] This paper presents a fast algorithm that provides optimal or near optimal solutions to the minimum perimeter problem on a rectangular grid. The mi... | [
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Sample_from_Cora_79817 | Paper #79817 has the title `Bayesian and Information-Theoretic Priors for Bayesian Network Parameters
` and the abstract `We consider Bayesian and information-theoretic approaches for determining non-informative prior distributions in a parametric model family. The information-theoretic approaches are based on the re... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #79817. \t[Title] Bayesian and Information-Theoretic Priors for Bayesian Network Parameters [Abstract] We consider Bayesian and information-theoretic approaches for determining non-informative prior distributions in a parametric model family. The in... | [
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Sample_from_Cora_396412 | Paper #396412 has the title `Boltzmann Machine learning using mean field theory and linear response correction
` and the abstract `We present a new approximate learning algorithm for Boltzmann Machines, using a systematic expansion of the Gibbs free energy to second order in the weights. The linear response correctio... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #396412. \t[Title] Boltzmann Machine learning using mean field theory and linear response correction [Abstract] We present a new approximate learning algorithm for Boltzmann Machines, using a systematic expansion of the Gibbs free energy to second o... | [
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Sample_from_Cora_1108050 | Paper #1108050 has the title `Theory of Synaptic Plasticity in Visual Cortex
` and the abstract `
`.
Question: Which category should Paper #1108050 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algor... | This paper should be classified into: Neural_Networks | [
"Above are papers related to the following paper: [Paper_ID] Paper #1108050. \t[Title] Theory of Synaptic Plasticity in Visual Cortex [Abstract] Please summarise all the given information.",
"Above are papers related to the following paper: [Paper_ID] Paper #469504. \t[Title] BCM Network develops Orientation Sel... | [
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Sample_from_Cora_753070 | Paper #753070 has the title `Similar Classifiers and VC Error Bounds
` and the abstract `We improve error bounds based on VC analysis for classes with sets of similar classifiers. We apply the new error bounds to separating planes and artificial neural networks. Key words machine learning, learning theory, generaliza... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #753070. \t[Title] Similar Classifiers and VC Error Bounds [Abstract] We improve error bounds based on VC analysis for classes with sets of similar classifiers. We apply the new error bounds to separating planes and artificial neural networks. Key w... | [
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... |
Sample_from_Cora_1131257 | Paper #1131257 has the title `Von Mises type statistics for single site updated local interaction random fields
` and the abstract `Random field models in image analysis and spatial statistics usually have local interactions. They can be simulated by Markov chains which update a single site at a time. The updating ru... | This paper should be classified into: Probabilistic_Methods | [
"Above are papers related to the following paper: [Paper_ID] Paper #1131257. \t[Title] Von Mises type statistics for single site updated local interaction random fields [Abstract] Random field models in image analysis and spatial statistics usually have local interactions. They can be simulated by Markov chains whi... | [
0
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[
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[
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[
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[
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],
[
13,
15,
12,
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11,
14,
15,
16,
18
],
[
... |
Sample_from_Cora_22883 | Paper #22883 has the title `On the Informativeness of the DNA Promoter Sequences Domain Theory
` and the abstract `The DNA promoter sequences domain theory and database have become popular for testing systems that integrate empirical and analytical learning. This note reports a simple change and reinterpretation of t... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #22883. \t[Title] On the Informativeness of the DNA Promoter Sequences Domain Theory [Abstract] The DNA promoter sequences domain theory and database have become popular for testing systems that integrate empirical and analytical learning. This note... | [
0
] | [
[
8,
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[
13,
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8,
14
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[
7,
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14
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[
12... |
Sample_from_Cora_1113852 | Paper #1113852 has the title `Learning an Optimally Accurate Representational System
` and the abstract `The multiple extension problem arises because a default theory can use different subsets of its defaults to propose different, mutually incompatible, answers to some queries. This paper presents an algorithm that ... | This paper should be classified into: Theory | [
"Above are papers related to the following paper: [Paper_ID] Paper #1113852. \t[Title] Learning an Optimally Accurate Representational System [Abstract] The multiple extension problem arises because a default theory can use different subsets of its defaults to propose different, mutually incompatible, answers to so... | [
0
] | [
[
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[
5,
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[
5,
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],
[
5,
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2,
0,
5,
10
],... |
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