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Computational learning theory
Results: 425

#	Item
121	A fast and simple algorithm for training neural probabilistic language models Andriy Mnih Gatsby Computational Neuroscience Unit, University College London Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-05-21 13:59:03 Artificial intelligence Computational neuroscience Machine learning Statistical natural language processing Estimation theory N-gram Language model Speech recognition Perplexity Science Computational linguistics Statistics
122	Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning Mengqiu Wang and Christopher D. Manning Computer Science Department Stanford University Stanford, CAUSA Add to Reading List Source URL: cs.stanford.edu Language: English - Date: 2014-03-05 02:07:11 Computational linguistics Econometrics Bitext word alignment Machine translation Estimation theory Conditional random field Semi-supervised learning Named-entity recognition Expectation–maximization algorithm Statistics Machine learning Science
123	EM for Perceptual Coding and Reinforcement Learning Tasks Yuri Ivanov Bruce Blumberg Alex Pentland Add to Reading List Source URL: characters.media.mit.edu Language: English - Date: 2003-06-30 17:30:06 Estimation theory Expectation–maximization algorithm Missing data Reinforcement learning Mixture model Q-learning Algorithm Pattern recognition Statistics Machine learning Computational statistics
124	Computer Science “Professor Zhou’s book is a comprehensive introduction to ensemble methods in machine learning. It reviews the latest research in this exciting area. I learned a lot reading it!” —Thomas G. Diet Add to Reading List Source URL: www.islab.ntua.gr Language: English - Date: 2015-02-05 08:23:09 Pattern recognition Supervised learning Semi-supervised learning Neural network Data mining Random forest Computational learning theory Ensemble learning Markov chain Monte Carlo Machine learning Artificial intelligence Learning
125	Review of Probably Approximate Correct, by Leslie Valiant. (Basic Books, 2013, x+195 pps.) In 2010, Leslie Valiant won the Turing Award, the “Nobel prize of computer science”. The citation mentioned a number of contr Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2015-03-15 21:24:02 Computer science Theoretical computer science Artificial intelligence Probably approximately correct learning Learning Learnability Leslie Valiant Supervised learning Algorithm Computational learning theory Machine learning Applied mathematics
126	Curriculum Vitae Cosma Rohilla Shalizi Contact ADDRESS E-MAIL SEX Add to Reading List Source URL: bactra.org Language: English - Date: 2014-09-30 19:05:08 Cybernetics Interdisciplinary fields ArXiv Open science Neural network Computational neuroscience Computational learning theory Machine learning Statistical inference Science Knowledge Information
127	PHIL/PSYCH 256 INTRODUCTION TO COGNITIVE SCIENCE Chaotic Systems Chaos: Slight differences in initial conditions lead to Add to Reading List Source URL: cogsci.uwaterloo.ca Language: English - Date: 2010-11-22 11:47:20 Cognitive science Systems theory Computational neuroscience Connectionism Learning Philosophy of artificial intelligence Psychology Culture Linguistic relativity Science Ethology Knowledge
128	To appear in Proceedings of the ACM Symposium on Information, Computer, and Communication Security, March 2006 Can Machine Learning Be Secure? Marco Barreno Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2006-02-11 16:41:05 Computational statistics Learning Anomaly detection Data mining Data security Intrusion detection system Concept learning Boosting Supervised learning Machine learning Statistics Learning theory
129	Nonlinear Estimation and Classification, Springer, The Boosting Approach to Machine Learning An Overview Robert E. Schapire AT&T Labs Research Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-12-08 18:16:11 Artificial intelligence Statistical classification AdaBoost Boosting LogitBoost Computational learning theory Binary classification Generalization error Multiclass classification Machine learning Ensemble learning Statistics
130	doi:j.tcs Add to Reading List Source URL: www-alg.ist.hokudai.ac.jp Language: English - Date: 2014-03-14 14:22:29 Theoretical computer science Mathematics Learning theory Inductive inference Algorithmic learning theory Nicolò Cesa-Bianchi Algorithm Learnability Probably approximately correct learning Computational learning theory Machine learning Applied mathematics

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