Computational learning theory

Results: 425



#Item
161Neuroscience / Cybernetics / Hebbian theory / Synaptic weight / Artificial neural network / Connectionism / Neuron / Neural coding / Computational neuroscience / Neural networks / Science

A Model of Probability Matching in a Two-Choice Task Based on Stochastic Control of Learning in Neural Cell-Assemblies1 Roman V. Belavkin ([removed]) Christian R. Huyck ([removed]) School of Engineerin

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Source URL: www.eis.mdx.ac.uk

Language: English - Date: 2009-06-23 06:14:50
162Mind / Anatomy / Neural networks / Neuroscience / Hebbian theory / Learning theory / Neuron / Brain / Computational neuroscience / Nervous system / Biology

In The 18th European Conference on Artificial Intelligence, [removed]Emergence of Rules in Cell Assemblies of fLIF Neurons Roman V. Belavkin and Christian R. Huyck 1 Abstract. Inspired by biological cognition, CAB OT proje

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Source URL: www.eis.mdx.ac.uk

Language: English - Date: 2008-05-27 05:30:01
163Control theory / Neural networks / Computational neuroscience / Artificial intelligence / Intelligent control / Robot / Reinforcement learning / Backpropagation / Industrial robot / Science / Cybernetics / Machine learning

Chapter 1 Introduction 1.1

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Source URL: www.q12.org

Language: English - Date: 2002-03-13 22:46:37
164Cyc / Ontology / Computational learning theory / Year of birth missing / Data stream mining / CALO / Artificial intelligence / Science / Academia

Bibliography Aldous, D. and Vazirani, U[removed]). “Go with the winners” algorithms. In Proceedings of the 35th Annual Symposium on Foundations of Computer Science, pp. 492–501, Santa Fe, New Mexico. IEEE Computer S

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Source URL: aima.cs.berkeley.edu

Language: English - Date: 2002-11-14 11:05:16
165Computational statistics / Machine learning / Bioinformatics / Hidden Markov model / Estimation theory / Cluster analysis / Speech recognition / Expectation–maximization algorithm / Pattern recognition / Statistics / Markov models / Probability and statistics

Pattern Recognition Letters[removed]–1407 www.elsevier.com/locate/patrec A sequential pruning strategy for the selection of the number of states in hidden Markov models Manuele Bicego

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Source URL: profs.sci.univr.it

Language: English - Date: 2011-10-29 17:46:39
166Semi-supervised learning / Co-training / Supervised learning / Boosting / Support vector machine / AdaBoost / Document classification / Computational learning theory / Machine learning / Artificial intelligence / Computational statistics

Combining Coregularization and Consensus-based Self-Training for Multilingual Text Categorization Massih-Reza Amini† Cyril Goutte†

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Source URL: ama.liglab.fr

Language: English - Date: 2013-02-27 04:55:28
167Neural networks / Networks / Computational neuroscience / Computational learning theory / Supervised learning / Reinforcement learning / Backpropagation / Bayesian network / Learning / Machine learning / Statistics / Artificial intelligence

INTRODUCTION TO MACHINE LEARNING AN EARLY DRAFT OF A PROPOSED TEXTBOOK

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Source URL: robotics.stanford.edu

Language: English - Date: 2010-06-21 13:24:18
168Science / Mind / Biology / Biological neural network / Neural coding / Synaptic weight / Perceptron / Machine learning / Neural oscillation / Neural networks / Computational neuroscience / Neuroscience

ISSN[removed]Theory and learning protocols for the material tempotron model Carlo Baldassi

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Source URL: www.carloalberto.org

Language: English - Date: 2015-02-12 04:12:12
169Information science / Computational linguistics / Information retrieval / Natural language processing / Question answering / Graph rewriting / Graph / Open domain question answering / Question / Graph theory / Science / Mathematics

Learning of Graph Rules for Question Answering Diego MOLLA and Menno VAN ZAANEN Centre for Language Technology, Macquarie University Sydney, Australia, {diego,menno}@ics.mq.edu.au

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Source URL: www.alta.asn.au

Language: English - Date: 2006-02-22 22:07:55
170Education / Supervised learning / Reinforcement learning / E-learning / Statistical classification / Data mining / Computational learning theory / Speech recognition / Genetic algorithm / Machine learning / Learning / Artificial intelligence

The Discipline of Machine Learning Tom M. Mitchell July 2006 CMU-ML[removed]

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Source URL: www.cs.cmu.edu

Language: English - Date: 2006-07-05 19:35:50
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