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Statistical models
Results: 4614

#	Item
601	Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar, Add to Reading List Source URL: www.sanjivk.com Language: English - Date: 2010-06-01 18:49:35 Theoretical computer science Probability Graphical models Statistical models Bayesian statistics Conditional random field Discriminative model Generative model Markov random field Statistics Machine learning Probability and statistics
602	MIRI MACH IN E INT ELLIGENCE R ESEARCH INS TITU TE A Comparison of Decision Algorithms Add to Reading List Source URL: intelligence.org Language: English - Date: 2013-04-29 07:41:11 Science Probability and statistics Statistical inference Bayesian network Networks Bayesian probability Graphical model Causal decision theory Decision theory Statistics Bayesian statistics Statistical models
603	Incremental Models of Natural Language Category Acquisition Trevor Fountain () Mirella Lapata () Institute for Language, Cognition and Computation School of Informatics, Universit Add to Reading List Source URL: texasexpat.net Language: English - Date: 2011-05-11 08:34:04 Semantics Natural language processing Computational linguistics Statistical natural language processing Lexical semantics Document-term matrix Semantic similarity Latent Dirichlet allocation Cluster analysis Statistics Linguistics Science
604	ESTIMATION OF UNNORMALIZED STATISTICAL MODELS WITHOUT NUMERICAL INTEGRATION Michael U. Gutmann1,3 and Aapo Hyv¨arinen1,2,3 1 Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2013-08-15 22:08:43 Maximum likelihood Parametric model Likelihood function Exponential family Consistent estimator Score Fisher information Extremum estimator Estimation theory Statistics Statistical theory
605	DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification Simon Lacoste-Julien Computer Science Division UC Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-01-10 00:13:43 Statistical classification Statistical models Information retrieval Latent Dirichlet allocation Linear discriminant analysis Probabilistic latent semantic analysis Mixture model Topic model Maximum likelihood Statistics Statistical natural language processing Machine learning
606	Predicting Simulation Parameters of Biological Systems using a Gaussian Process Model Xiangxin Zhu, Max Welling Fang Jin, John Lowengrub Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2012-02-01 21:23:55 Statistical theory Statistical models Normal distribution Parametric model Regression analysis Gaussian process Expectation–maximization algorithm Maximum likelihood Statistics Estimation theory Econometrics
607	IN PARTNERSHIP WITH: CNRS Institut polytechnique de Grenoble Université Joseph Fourier (Grenoble 1) Add to Reading List Source URL: mistis.inrialpes.fr Language: English - Date: 2014-09-23 04:37:49 Estimation theory Statistical theory Markov models Mixture model Non-parametric statistics Parametric statistics Markov chain Hidden Markov model Regression analysis Statistics Statistical inference Statistical models
608	Asynchronous Distributed Learning of Topic Models Arthur Asuncion, Padhraic Smyth, Max Welling Department of Computer Science University of California, Irvine Irvine, CA Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2008-09-17 01:00:41 Statistical natural language processing Latent Dirichlet allocation Linear discriminant analysis Parallel algorithm Multi-core processor Topic model Algorithm Perplexity Speedup Statistics Parallel computing Computing
609	IN PARTNERSHIP WITH: CNRS Institut polytechnique de Grenoble Université Joseph Fourier (Grenoble) Add to Reading List Source URL: mistis.inrialpes.fr Language: English - Date: 2014-09-23 04:37:31 Statistical models Markov models Statistical theory Mixture model Markov chain Parametric statistics Regression analysis Hidden Markov model Expectation–maximization algorithm Statistics Statistical inference Estimation theory
610	Efficient Bayesian Methods for Clustering Katherine Ann Heller B.S., Computer Science, Applied Mathematics and Statistics, State University of New York at Stony Brook, USAM.S., Computer Science, Columbia Universi Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2009-04-21 20:33:21 Machine learning Cluster analysis Data mining Mixture model Graphical model Hierarchical clustering Bayesian inference Dirichlet process Content-based image retrieval Statistics Bayesian statistics Statistical models

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