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Statistical learning theory
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#	Item
411	Principles of Artificial Intelligence Fall 2005 Handout #6 Learning Vasant Honavar Artificial Intelligence Research Laboratory Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2009-08-25 18:32:21 Machine learning Learning Information theory Statistical hypothesis testing Decision tree learning Kullback–Leibler divergence Statistics Cybernetics Science
412	Conditional Random Fields for Multi-agent Reinforcement Learning Xinhua Zhang [removed] Douglas Aberdeen [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-06-21 14:46:49 Estimation theory Machine learning Conditional random field Theoretical computer science Reinforcement learning Loss function Markov decision process Rao–Blackwell theorem Bayesian network Statistics Graphical models Statistical theory
413	JMLR: Workshop and Conference Proceedings vol 35:1–31, 2014 Bayes-Optimal Scorers for Bipartite Ranking Aditya Krishna Menon ADITYA . MENON @ NICTA . COM . AU Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-02-24 02:00:41 Econometrics Loss function Statistical theory Function Supervised learning Statistics Mathematics Decision theory
414	Robust Bayesian Max-Margin Clustering Changyou Chen† Jun Zhu‡ Xinhua Zhang] † Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-10-30 20:29:12 Machine learning Statistical models Cluster analysis Mixture model Dirichlet process K-means clustering Variational Bayesian methods Loss function Hierarchical clustering Statistics Statistical theory Bayesian statistics
415	Note to other teachers and users of these slides. Andrew would be delighted if you found this source material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own Add to Reading List Source URL: www.autonlab.org Language: English - Date: 2008-07-07 16:16:21 Regression analysis Neural networks Estimation theory Perceptron Statistical classification Training set Linear regression Naive Bayes classifier Statistics Econometrics Machine learning
416	Journal of Machine Learning Research[removed]1736 Submitted 12/09; Revised 4/10; Published 5/10 FastInf: An Efficient Approximate Inference Library Ariel Jaimovich Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-05-17 17:54:22 Bayesian statistics Statistical models Probability theory Networks Belief propagation Bayesian network Probabilistic relational model Expectation–maximization algorithm Machine learning Statistics Graphical models Probability
417	Learning for Optical Flow Using Stochastic Optimization Yunpeng Li and Daniel P. Huttenlocher Department of Computer Science, Cornell University, Ithaca, NY 14853 {yuli,dph}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2008-07-27 07:54:40 Mathematics M-estimators Econometrics Simultaneous perturbation stochastic approximation Maximum likelihood Loss function Optical flow Supervised learning Motion estimation Statistics Estimation theory Statistical theory
418	Spatial Priors for Part-Based Recognition using Statistical Models David Crandall1 Cornell University [removed] Pedro Felzenszwalb Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2005-04-11 14:45:39 Image processing Artificial intelligence Estimation theory Object recognition Maximum likelihood Edge detection One-shot learning Scale-invariant feature transform Computer vision Vision Imaging
419	Learnability of Probabilistic Automata via Oracles Omri Guttman ? , S.V.N. Vishwanathan, and Robert C. Williamson Statistical Machine Learning Program National ICT Australia RSISE, Australian National University Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-05-22 19:18:42 Mathematics Automata theory Algorithm Markov chain Computational learning theory Symbol Kullback–Leibler divergence Statistics Theoretical computer science Applied mathematics
420	Using Word Dependent Transition Models in HMM based Word Alignment for Statistical Machine Translation Xiaodong He Microsoft Research One Microsoft Way Redmond, WA[removed]USA Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-07-21 20:54:01 Machine learning Probability and statistics Bioinformatics Hidden Markov model Estimation theory Statistical machine translation Markov chain Speech recognition Expectation–maximization algorithm Statistics Markov models Statistical natural language processing

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