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Mixture model
Results: 969

#	Item
391	Deep Exponential Families Rajesh Ranganath Princeton University Linpeng Tang Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Statistical models Statistical natural language processing Bayesian statistics Exponentials Poisson processes Latent Dirichlet allocation Exponential family Mixture model Gamma distribution Statistics Mathematical analysis Probability and statistics
392	The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2010-06-16 23:53:04 Statistical natural language processing Statistical models Statistical inference Dirichlet process Latent Dirichlet allocation Chinese restaurant process Non-parametric statistics Mixture model Bayesian network Statistics Stochastic processes Bayesian statistics
393	CONTENT-BASED MUSICAL SIMILARITY COMPUTATION USING THE HIERARCHICAL DIRICHLET PROCESS Matthew Hoffman Princeton University Dept. of Computer Science Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Dirichlet process Hidden Markov model Mixture model Expectation–maximization algorithm Information retrieval Dirichlet distribution Normal distribution Semantic similarity Kullback–Leibler divergence Statistics Machine learning Natural language processing
394	Predicting Legislative Roll Calls from Text Sean M. Gerrish SGERRISH @ CS . PRINCETON . EDU David M. Blei BLEI @ CS . PRINCETON . EDU Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Statistical natural language processing Natural language processing Bayesian statistics Statistical models Statistical theory Topic model Mixture model Latent Dirichlet allocation Information retrieval Statistics Science Probability and statistics
395	Journal of Machine Learning Research[removed]2410 Submitted 10/09; Revised 12/10; Published 8/10 Distance Dependent Chinese Restaurant Processes David M. Blei Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:20 Machine learning Probability theory Dirichlet process Chinese restaurant process Mixture model Cluster analysis Mixture Exchangeable random variables Statistics Stochastic processes Statistical models
396	T O APPEAR IN P ROCEEDINGS OF THE 2007 I NTERNATIONAL C ONFERENCE ON I NFORMATION F USION Hierarchical Dirichlet Processes for Tracking Maneuvering Targets Emily B. Fox Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-06 10:47:50 Statistical models Robot control Bayesian statistics Stochastic processes Hidden Markov model Markov chain Kalman filter Conjugate prior Mixture model Statistics Probability and statistics Markov models
397	Journal of Machine Learning Research[removed]1224 Submitted 3/10; Revised 3/11; Published 4/11 The Indian Buffet Process: An Introduction and Review Thomas L. Griffiths Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2011-04-11 17:58:43 Categorical data Markov models Dirichlet process Conjugate prior Mixture model Chinese restaurant process Dirichlet distribution Markov chain Latent class model Statistics Statistical models Stochastic processes
398	Journal of Machine Learning Research[removed]Submitted 9/09, Revised 7/10, 1/11; Published 5/11 Dirichlet Process Mixtures of Generalized Linear Models Lauren A. Hannah Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:21 Nonparametric regression Linear regression Poisson regression Dirichlet process Mixture model Degrees of freedom Statistical power Bayesian linear regression Variance inflation factor Statistics Regression analysis Generalized linear model
399	Manifold Based Analysis of Facial Expression Changbo Hu, Ya Chang, Rogerio Feris, and Matthew Turk University of California, Santa Barbara {cbhu, yachang, rferis, mturk}@cs.ucsb.edu Abstract We propose a novel approach f Add to Reading List Source URL: www.recveb.ucsb.edu Language: English Face recognition Computational statistics Nonlinear dimensionality reduction Isomap Facial recognition system Generalized method of moments Mixture model Pattern recognition Manifold Statistics Machine learning Dimension reduction
400	The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling Sinead Williamson Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, UK Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:23 Dirichlet process Latent Dirichlet allocation Dirichlet distribution Mixture model Hidden Markov model Concentration parameter Normal distribution Topic model Golden ratio Statistics Probability and statistics Statistical natural language processing

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