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Computational learning theory
Results: 425

#	Item
101	David M. Andrzejewski Recent professional experience Industry Spring 2014 to present Add to Reading List Source URL: www.david-andrzejewski.com Language: English - Date: 2014-02-18 09:56:14 Statistical natural language processing Topic model Natural language processing Information retrieval Data mining Madison Wisconsin Computational learning theory University of Wisconsin–Madison Machine learning Science Artificial intelligence
102	Unsupervised Learning∗ Zoubin Ghahramani† Gatsby Computational Neuroscience Unit University College London, UK http://www.gatsby.ucl.ac.uk/~zoubin Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2005-11-29 12:55:06 Statistical theory Machine learning Markov models Expectation–maximization algorithm Maximum likelihood Hidden Markov model Mixture model Kullback–Leibler divergence Marginal likelihood Statistics Estimation theory Bayesian statistics
103	Toward A Taxonomy of “Small” Genres and Writing Techniques for WAC Add to Reading List Source URL: wac.colostate.edu Language: English - Date: 2010-12-27 11:56:40 Pedagogy Philosophy of education Computational complexity theory Reduction Rote learning Eleanor Duckworth Inquiry-based learning Education Educational psychology Education reform
104	Effectiveness of Neural Network Learning Rules Generated by a Biophysical Model of Synaptic Plasticity David J. Jilk, Daniel M. Cer, and Randall C. O’Reilly Department of Psychology University of Colorado, Boulder 345 Add to Reading List Source URL: psych.colorado.edu Language: English - Date: 2003-06-14 00:35:46 Neural networks Neurophysiology Computational neuroscience Cell signaling Hebbian theory Synaptic weight Synaptic plasticity Spike-timing-dependent plasticity Chemical synapse Biology Neuroscience Nervous system
105	Learning Complex Combinations of Operations in a Hybrid Architecture L. Andrew Coward and Tamás D. Gedeon Department of Computer Science Australian National University Canberra, ACT 0200, Australia Add to Reading List Source URL: cs.anu.edu.au Language: English - Date: 2009-05-12 02:38:57 Science Applied mathematics Computational statistics Artificial neural network Machine learning Control theory Simulation Adaptive resonance theory Types of artificial neural networks Neural networks Computational neuroscience Cybernetics
106	CCCG 2008, Montr´eal, Qu´ebec, August 13–15, 2008 VC-Dimension of Visibility on Terrains James King∗ Abstract Add to Reading List Source URL: cccg.ca Language: English - Date: 2008-10-29 00:09:07 Polygons Mathematics Art gallery problem VC dimension Simple polygon Area Applied mathematics Computational geometry Computational learning theory Geometry
107	Complements to ‘Pattern Recognition and Neural Networks’ by B.D. Ripley Cambridge University Press, 1996, ISBN Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 1997-04-20 05:18:14 Ensemble learning Learning Neural networks Perceptron Computational learning theory Boosting Generalization error Bootstrap aggregating Statistical classification Machine learning Artificial intelligence Computational statistics
108	S.V.N. Vishwanathan Departments of Statistics and Computer Science Purdue University 250 N. University Street W. Lafayette, INUSA Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2013-08-28 07:26:33 Support vector machine Kernel methods John Shawe-Taylor Conference on Neural Information Processing Systems Journal of Machine Learning Research Boosting Computational learning theory International Conference on Machine Learning Machine learning Artificial intelligence Learning
109	IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 4, NO. 1, MARCHA Survey of Monte Carlo Tree Search Methods Cameron Browne, Member, IEEE, Edward Powley, Member, IEEE, Daniel Whitehouse, Memb Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2012-06-11 20:40:44 Graph theory Search algorithms Game theory Computer chess Combinatorial game theory Minimax Reinforcement learning Expectiminimax tree Negamax Mathematics Game artificial intelligence Artificial intelligence
110	arXiv:1403.6863v1 [cs.LG] 26 MarOnline Learning of k-CNF Boolean Functions Joel Veness Marcus Hutter Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-03-27 20:30:51 Boolean algebra Machine learning Bayesian statistics Time complexity Supervised learning Bayesian inference Algorithm Boolean function PP Theoretical computer science Applied mathematics Computational complexity theory

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