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Mixture model
Results: 969

#	Item
561	Mixture Models for Spatio-Temporal Multi-State Processes Farouk Nathoo & Charmaine Dean [removed] and [removed] Department of Statistics and Actuarial Science Add to Reading List Source URL: www.fields.utoronto.ca Language: English - Date: 2005-06-06 11:41:58 Probability and statistics Markov chain Hidden Markov model Markov property Semi-Markov process Models of DNA evolution Markov models Statistics Markov processes
562	Journal of Machine Learning Research[removed]1828 Submitted 6/08; Revised 2/09; Published 8/09 Distributed Algorithms for Topic Models David Newman Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2009-08-24 20:16:36 Topic model Mixture model Dirichlet process Linear discriminant analysis Gibbs sampling Parallel computing Dirichlet distribution Algorithm Multi-core processor Statistics Statistical natural language processing Latent Dirichlet allocation
563	Chapter 14 Multivariate Distributions[removed]Review of Definitions Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2012-03-06 09:25:11 Data analysis Multivariate normal distribution Normal distribution Fisher information Maximum likelihood Covariance matrix Central limit theorem Mixture model Principal component analysis Statistics Estimation theory Multivariate statistics
564	Large-scale Consensus Clustering and Data Ownership Considerations for Medical Applications by Chidube Donald Ezeozue Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2013-11-18 22:53:00 Data analysis Data mining Geostatistics Consensus clustering Expectation–maximization algorithm Mixture model Statistics Machine learning Cluster analysis
565	Bayesian hazard mixture models BAYSM14, Vienna J. Arbel, A. Lijoi, B. Nipoti [removed] Collegio Carlo Alberto, Moncalieri, Italy Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Dirichlet process Mixture model Bayesian statistics Statistics Probability and statistics Stochastic processes
566	Ensembles for Unsupervised Outlier Detection: Challenges and Research Questions [Position Paper] Arthur Zimek Ricardo J. G. B. Campello Add to Reading List Source URL: www.kdd.org Language: English - Date: 2014-01-31 16:18:34 Cluster analysis Machine learning Robust statistics Outlier Anomaly detection Consensus clustering Mixture model Ensemble learning Statistical ensemble Statistics Data analysis Data mining
567	TECHNICAL WHITE PAPER \| TLD Suggestion System 1 TLD Suggestion System A probabilistic model for the TLD suggestion Add to Reading List Source URL: pres.gandi.net Language: English - Date: 2014-12-22 07:28:00 Identifiers Top-level domains Exponentials Expectation–maximization algorithm Mixture model Maximum likelihood Domain name Normal distribution Dirichlet process Statistics Domain name system Estimation theory
568	Parameter estimation for text analysis Gregor Heinrich Technical Note vsonix GmbH + University of Leipzig, Germany [removed] Add to Reading List Source URL: www.arbylon.net Language: English - Date: 2008-09-05 05:25:47 Conjugate prior Hyperparameter Dirichlet distribution Beta distribution Mixture model Prior probability Bayesian inference Multinomial distribution Categorical distribution Statistics Probability and statistics Bayesian statistics
569	Bayesian Hidden Markov Models and Extensions Zoubin Ghahramani Department of Engineering University of Cambridge joint work with Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2010-07-18 15:06:27 Statistical models Statistical theory Bioinformatics Hidden Markov model Markov chain Marginal likelihood Mixture model Bayesian inference Bayes factor Statistics Bayesian statistics Markov models
570	Non-parametric Bayesian Methods Uncertainty in Artificial Intelligence Tutorial July 2005 Zoubin Ghahramani Gatsby Computational Neuroscience Unit1 University College London, UK Add to Reading List Source URL: mlg.eng.cam.ac.uk Language: English - Date: 2006-05-16 12:30:16 Statistical theory Cluster analysis Estimation theory Parametric model Mixture model Dirichlet process Normal distribution Gaussian process Hidden Markov model Statistics Stochastic processes Statistical models

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