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Statistical learning theory
Results: 800

#	Item
571	LEARNING SEQUENCE KERNELS Corinna Cortes Mehryar Mohri∗ Afshin Rostamizadeh∗ Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2009-11-02 10:14:29 Statistical classification Operator theory Linear algebra Non-parametric statistics Support vector machine String kernel Finite state transducer Kernel Symbol Statistics Algebra Mathematics
572	Spectral Methods for Learning Multivariate Latent Tree Structure Animashree Anandkumar1 , Kamalika Chaudhuri2 , Daniel Hsu3 , Sham M. Kakade3,4 , Le Song5 , and Tong Zhang6 1 Department of Electrical Engineering and Com Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:21 Statistical models Markov models Graphical models Estimation theory Expectation–maximization algorithm Missing data Kalman filter Hidden Markov model Bayesian network Statistics Transport Private transport
573	A Method of Moments for Mixture Models and Hidden Markov Models Animashree Anandkumar1 , Daniel Hsu2 , and Sham M. Kakade2 1 Department of EECS, University of California, Irvine Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:21 Estimation theory Statistical models Markov models Cluster analysis Machine learning Mixture model Hidden Markov model Expectation–maximization algorithm Maximum likelihood Statistics Algebra Mathematics
574	Package ‘bartMachine’ September 5, 2014 Type Package Title Bayesian Additive Regression Trees Version[removed]Date[removed] Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-05 16:15:52 Econometrics Estimation theory Parametric statistics Linear regression Ordinary least squares Cross-validation Statistical power Statistical classification Multivariate adaptive regression splines Statistics Regression analysis Machine learning
575	Minimum Risk Annealing for Training Log-Linear Models∗ David A. Smith and Jason Eisner Department of Computer Science Center for Language and Speech Processing Johns Hopkins University Baltimore, MD 21218, USA Add to Reading List Source URL: www.ccs.neu.edu Language: English - Date: 2006-06-12 12:15:34 Bayesian statistics Econometrics M-estimators Maximum likelihood Bayes estimator Expectation–maximization algorithm Loss function Likelihood function Supervised learning Statistics Estimation theory Statistical theory
576	Journal of Machine Learning Research[removed]2312 Submitted 7/13; Revised 11/13; Published[removed]A Tensor Approach to Learning Mixed Membership Community Models Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:19 Community structure Tensor Random graph Markov chain Mathematics Probability and statistics Statistical models Statistics Networks Graph theory
577	IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 11, NOVEMBER[removed]Nonparametric Decentralized Detection Using Kernel Methods Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2005-11-06 17:07:38 Decision theory Estimation theory Econometrics Loss function Empirical risk minimization Kernel methods Bayes estimator Support vector machine Mathematical optimization Statistics Machine learning Statistical classification
578	Local Privacy, Statistical Minimax Rates, and Learning John C. Duchi, Michael I. Jordan, Martin J. Wainwright University of California, Berkeley May 2013 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-06-04 02:58:47 Decision theory Game artificial intelligence Game theory Minimax Michael I. Jordan Salary Artificial intelligence Mathematics Management
579	Journal of Machine Learning Research[removed]1859 Submitted 5/06; Revised 8/06; Published 9/06 Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-09-13 18:29:49 M-estimators Maximum likelihood Exponential family Cumulant Sufficient statistic Expectation–maximization algorithm Statistics Estimation theory Statistical theory
580	Privacy Aware Learning 1 John C. Duchi1 Michael I. Jordan1,2 Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-11-14 05:48:07 Information theory Decision theory Econometrics Loss function Mutual information Dimensional analysis Divergence Maximum likelihood Expectation–maximization algorithm Statistics Statistical theory Estimation theory

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