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Mixture model
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#	Item
201	Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development Diane J. Hu1 , Laurens van der Maaten1,2 , Youngmin Cho1 , Lawrence K. Saul1 , Sorin Lerner1 1 Dept. of Computer Science & Engin Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2015-06-09 09:51:41 Mixture model Expectation–maximization algorithm Dirichlet process Bernoulli distribution Variational Bayesian methods Statistics Cluster analysis Machine learning
202	Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images Marc’Aurelio Ranzato Alex Krizhevsky Geoffrey E. Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2010-06-05 20:44:53 Probability and statistics Boltzmann machine Latent variable Generative model Mixture model Unsupervised learning Statistical classification Independent component analysis Statistics Statistical models Machine learning
203	Group-Based criminal trajectory analysis using cross-validation criteria J.D. Nielsen1 , J.S. Rosenthal2 , Y. Sun3 , D.M. Day4 , I. Bevc5 , and T. Duchesne6 (Last revised July 30, 2012.) Add to Reading List Source URL: probability.ca Language: English - Date: 2012-07-30 21:29:52 Statistical models Cluster analysis Categorical data Latent class model Bayesian information criterion Akaike information criterion Cross-validation Mixture model Statistics Model selection Machine learning
204	Fill in title in File > Properties > Settings Add to Reading List Source URL: projects.nr.no Language: English - Date: 2013-03-22 04:09:49 Actuarial science Copula Covariance and correlation Mathematical finance Mixture model Aas Nils Lid Hjort Haff Correlation and dependence Statistics Statistical dependence Probability and statistics
205	Andrew Cron Weinraub Analytics Durham, NCEmail: Web: http://www.andrewcron.com/ Add to Reading List Source URL: www.andrewcron.com Language: English - Date: 2015-06-17 12:18:48 Machine learning Graphics hardware Video cards Statistical natural language processing Cluster analysis Mixture model GPGPU Latent Dirichlet allocation Cron Statistics Computing Statistical models
206	MODEL SELECTION IN A SETTING WITH LATENT VARIABLES Ralf Eggeling1 , Teemu Roos2 , Petri Myllym¨aki2 , Ivo Grosse1 1 Institute for Computer Science, Martin Luther University Halle-Wittenberg, 06099 Halle, GERMANY, {eggel Add to Reading List Source URL: www.me.inf.kyushu-u.ac.jp Language: English - Date: 2013-06-26 03:31:11 Bayesian statistics Graphical models Estimation theory Expectation–maximization algorithm Mixture model Hidden Markov model Latent variable Markov chain Bayesian network Statistics Statistical models Markov models
207	GENERAL MULTILELEVEL MODELING WITH SAMPLING WEIGHTS Tihomir Asparouhov Muthen & Muthen Los Angeles, California, USA Add to Reading List Source URL: www.statmodel.com Language: English - Date: 2008-08-13 12:42:34 Regression analysis Machine learning Statistical inference Sampling Linear regression Cluster sampling Mixture model Sample size determination Estimator Statistics Estimation theory Statistical models
208	Adaptive Training for Large Vocabulary Continuous Speech Recognition Kai Yu Hughes Hall College Add to Reading List Source URL: svr-www.eng.cam.ac.uk Language: English - Date: 2007-11-16 07:23:54 Statistical models Estimation theory Bayesian statistics Hidden Markov model Speech recognition Expectation–maximization algorithm Bayesian network Variational Bayesian methods Mixture model Statistics Machine learning Markov models
209	A New Approach to Probabilistic Programming Inference Frank Wood Department of Engineering University of Oxford Add to Reading List Source URL: www.robots.ox.ac.uk Language: English - Date: 2015-06-02 07:22:01 Statistical theory Bayesian statistics Statistical inference Hidden Markov model Importance sampling Normal distribution Mixture model Bayesian inference Joint probability distribution Statistics Probability and statistics Monte Carlo methods
210	Copyright Cambridge University PressOn-screen viewing permitted. Printing not permitted. http://www.cambridge.orgYou can buy this book for 30 pounds or $50. See http://www.inference.phy.cam.ac.uk/macka Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2005-05-21 12:28:41 Estimation theory Maximum likelihood Normal distribution Gaussian function Likelihood function Likelihood-ratio test Poisson distribution Sufficient statistic Mixture model Statistics Statistical theory Bayesian statistics

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