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Mixture model
Results: 969

#	Item
751	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
752	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
753	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
754	Modeling Word Burstiness Using the Dirichlet Distribution Rasmus E. Madsen [removed] Department of Informatics and Mathematical Modelling, Technical University of Denmark David Kauchak Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:29 Multinomial distribution Latent Dirichlet allocation Mixture model Language model Naive Bayes classifier Dirichlet distribution Latent semantic analysis Exponential family Probability distribution Statistics Statistical natural language processing Probabilistic latent semantic analysis
755	Multi-Task Compressive Sensing with Dirichlet Process Priors Yuting Qi YUTING @ EE . DUKE . EDU Dehong Liu LIUDH @ EE . DUKE . EDU Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708 USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-26 07:38:52 Compressed sensing Information theory Linear algebra Regression analysis Signal processing Dirichlet process Gamma distribution Kullback–Leibler divergence Mixture model Statistics Probability and statistics Markov models
756	Learning First-Order Probabilistic Models with Combining Rules Sriraam Natarajan NATARASR @ EECS . ORST. EDU Prasad Tadepalli TADEPALL @ EECS . ORST. EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:12 Machine learning Statistical models Cluster analysis Mixture model Bayesian network Expectation–maximization algorithm Naive Bayes classifier Probabilistic logic Statistical classification Statistics Probability and statistics Bayesian statistics
757	Bayesian Hierarchical Clustering Katherine A. Heller Zoubin Ghahramani Gatsby Computational Neuroscience Unit, UCL, London, WC1N 3AR, UK Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:14:20 Bayesian statistics Bioinformatics Data mining Single-linkage clustering Hierarchical clustering Mixture model Conjugate prior Dirichlet process Hidden Markov model Statistics Machine learning Cluster analysis
758	Microsoft Word - Durban_revised2_reformatted.doc Add to Reading List Source URL: alaskafisheries.noaa.gov Language: English - Date: 2012-04-04 19:06:40 Oceanic dolphins Baleen whales Cetaceans Killer whale Predators Sampling Mixture model Whale Springer Megafauna Zoology Biology
759	Review by Johnson of Maniscalco et al.: Estimating Natality Rate of Steller Sea Lions at Chiswell Island Rookery, Alaska, 2009 Add to Reading List Source URL: alaskafisheries.noaa.gov Language: English - Date: 2012-08-07 17:32:16 Cluster analysis Machine learning Mixture model Akaike information criterion Survival analysis Estimation theory Statistics Probability and statistics Model selection
760	POST-DOCTORAL FELLOWSHIP (HALF-TIME) IN PSYCHOMETRICS AND MIXTURE MODELS IN SUBSTANCE USE AT THE UNIVERSITY OF WASHINGTON, SEATTLE Dr. Brian P. Flaherty of the Psychology Department at the University of Washington (UW) i Add to Reading List Source URL: adai.uw.edu Language: English - Date: 2014-05-22 14:19:24 Latent variable model Latent class model Latent variable Psychometrics Princeton University Department of Psychology University of Washington Mixture model Statistics Statistical models Education

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