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Mixture model
Results: 969

#	Item
501	Composite Statistical Inference for Semantic Segmentation Fuxin Li(1) , Joao Carreira(2) , Guy Lebanon(1) , Cristian Sminchisescu[removed]Georgia Institute of Technology. (2) ISR - University of Coimbra. (3) Lund Universi Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-06-04 23:25:14 Maximum likelihood Expectation–maximization algorithm Identifiability Score Likelihood function Parametric model M-estimator Mixture model Entailment Statistics Estimation theory Segmentation
502	A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-09-02 12:44:15 Estimation theory Dynamic topic model Statistical models Regression analysis Latent Dirichlet allocation Dirichlet process Mixture model Topic model Linear regression Statistics Statistical natural language processing Econometrics
503	Elemental Technologies CGM Data Mining Technology MORINAGA Satoshi, YAMANISHI Kenji Abstract Add to Reading List Source URL: www.nec.com Language: English - Date: 2013-10-01 21:36:14 Artificial intelligence Statistical natural language processing Natural language processing Machine learning Data mining Analysis Mixture model Text mining Geographic information system Statistics Science Data analysis
504	Mixture models for describing some strange looking datasets Add to Reading List Source URL: www.rsc.org Language: English - Date: 2014-08-20 04:20:15 Statistical models Statistical theory Expectation–maximization algorithm Missing data Mixture model Maximum likelihood Least squares Normal distribution Mixture distribution Statistics Estimation theory Regression analysis
505	CS 294-2, Grouping and Recognition (Prof. Jitendra Malik) Sept 1st, 1999 Lecture #4 (Expectation Maximization Algorithm) DRAFT Notes by Rene Vidal Mixture models with incomplete data Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:54:43 Statistical theory Expectation–maximization algorithm Missing data Normal distribution Mixture model Maximum likelihood Multivariate normal distribution Statistics Estimation theory Cluster analysis
506	Collaborative Information Processing in Wireless Sensor Networks for Diffusive Source Estimation by Add to Reading List Source URL: www.ece.unm.edu Language: English - Date: 2013-03-21 10:27:20 Wireless networking Wireless sensor network Technology Sensor node Estimation theory Mixture model Statistics Probability and statistics Signal processing
507	Overview Bayesian learning theory applied to human cognition Robert A. Jacobs1∗ and John K. Kruschke2 Probabilistic models based on Bayes’ rule are an increasingly popular approach to Add to Reading List Source URL: www.indiana.edu Language: English - Date: 2012-01-07 13:16:34 Bayesian inference Bayesian probability Graphical model Expectation–maximization algorithm Prior probability Hierarchical Bayes model Mixture model Latent variable Dirichlet process Statistics Bayesian statistics Bayesian network
508	Hierarchical Topic Models and the Nested Chinese Restaurant Process David M. Blei [removed] Thomas L. Griffiths Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:54 Latent Dirichlet allocation Dirichlet process Mixture model Chinese restaurant process Topic model Hidden Markov model Hierarchy Information retrieval Bayes factor Statistics Statistical natural language processing Stochastic processes
509	A Hierarchical Graphical Model for Record Linkage Pradeep Ravikumar William W. Cohen Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-04-08 16:06:46 Bayesian statistics Graphical models Cluster analysis Mixture model Record linkage Pattern recognition Supervised learning Bayesian network Naive Bayes classifier Statistics Machine learning Statistical models
510	Dynamic Topic Adaptation for Phrase-based MT Eva Hasler1 , Phil Blunsom2 , Philipp Koehn1 , Barry Haddow1 1 School of Informatics, University of Edinburgh 2 Dept. of Computer Science, University of Oxford Abstract Add to Reading List Source URL: aclweb.org Language: English - Date: 2014-04-18 06:11:01 Linguistics Computational linguistics Markov models Machine translation N-gram Statistical machine translation Latent Dirichlet allocation Language model Mixture model Statistical natural language processing Science Natural language processing

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