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Statistical learning theory
Results: 800

#	Item
631	Two-Stage Learning Kernel Algorithms Corinna Cortes Google Research, 76 Ninth Avenue, New York, NY[removed]CORINNA @ GOOGLE . COM Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:36 Statistical classification Operator theory Support vector machine Kernel Reproducing kernel Hilbert space Positive-definite kernel Statistics Non-parametric statistics Hilbert space
632	Entropy-Based Criterion in Categorical Clustering Tao Li TAOLI @ CS . ROCHESTER . EDU Department of Computer Science, University of Rochester, Rochester, NY[removed]USA Sheng Ma Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:21:06 Machine learning Statistical theory Cluster analysis Multivariate statistics Mutual information Entropy K-means clustering Feature selection Mixture model Statistics Probability and statistics Information theory
633	Bayesian Inference for Transductive Learning of Kernel Matrix Using the Tanner-Wong Data Augmentation Algorithm Zhihua Zhang [removed] Dit-Yan Yeung Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:03 Expectation–maximization algorithm Missing data Matrix Conjugate prior Support vector machine Markov chain Statistics Statistical classification Estimation theory
634	Thang Nguyen, Yuening Hu, and Jordan Boyd-Graber. Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms. Association for Computational Linguistics, 2014. @inproceedings{Nguyen:Hu Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-09 22:19:36 Markov models Estimation theory Linear algebra Latent Dirichlet allocation Mixture model Topic model Hidden Markov model Regularization Expectation–maximization algorithm Statistics Machine learning Statistical natural language processing
635	Sparsity in Dependency Grammar Induction Jennifer Gillenwater and Kuzman Ganchev João Graça University of Pennsylvania L2 F INESC-ID Philadelphia, PA, USA Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-07-05 10:42:37 Machine learning Estimation theory Expectation–maximization algorithm Missing data Dirichlet process Independence Dependency grammar Treebank Regularization Statistics Probability theory Statistical dependence
636	Cluster Analysis of Heterogeneous Rank Data Ludwig M. Busse Peter Orbanz Joachim M. Buhmann Institute of Computational Science, ETH Zurich, 8092 Zurich, Switzerland Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:24:18 Cluster analysis Statistical models Expectation–maximization algorithm Mixture model Maximum likelihood Statistics Machine learning Estimation theory
637	Biometrika (2014), xx, x, pp. 1–15 C 2007 Biometrika Trust Printed in Great Britain Classification with Confidence B Y J ING L EI Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2014-06-23 11:03:44 Statistical inference Econometrics Naive Bayes classifier Statistical classification Estimation theory Logistic regression Cross-validation Sample size determination Polynomial regression Statistics Regression analysis Machine learning
638	Why Skewing Works: Learning Difficult Boolean Functions with Greedy Tree Learners Bernard Rosell [removed] Lisa Hellerstein Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:09 Interpretation Logic Philosophical logic Mathematics Probability theory Independence Statistical dependence
639	Supervised dimensionality reduction using mixture models Sajama Alon Orlitsky University of california at San Diego Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:16:12 Machine learning Statistical theory Statistical classification Mixture model Maximum likelihood Supervised learning Expectation–maximization algorithm Linear discriminant analysis Gaussian function Statistics Estimation theory Multivariate statistics
640	Relating Reinforcement Learning Performance to Classification Performance [removed] John Langford TTI-Chicago, 1427 E 60th Street, Chicago, IL[removed]USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:05 Statistical classification Reinforcement learning Q-learning Markov decision process Multiclass classification Computational learning theory Binary classification Reinforcement Learning classifier system Statistics Machine learning Artificial intelligence

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