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Mixture theory
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#	Item
281	A Method of Moments for Mixture Models and Hidden Markov Models Animashree Anandkumar1 , Daniel Hsu2 , and Sham M. Kakade2 1 Department of EECS, University of California, Irvine Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:21 Estimation theory Statistical models Markov models Cluster analysis Machine learning Mixture model Hidden Markov model Expectation–maximization algorithm Maximum likelihood Statistics Algebra Mathematics
282	movMF: An R Package for Fitting Mixtures of von Mises-Fisher Distributions Kurt Hornik Bettina Gru ¨n Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-03 14:41:25 Probability distributions Bayesian statistics Statistical models Von Mises distribution Expectation–maximization algorithm Mixture model Maximum likelihood Mixture distribution Von Mises–Fisher distribution Statistics Estimation theory Directional statistics
283	Package ‘movMF’ July 3, 2014 Version[removed]Encoding UTF-8 Title Mixtures of von Mises-Fisher Distributions Description Fit and simulate mixtures of von Mises-Fisher distributions. Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-03 14:41:25 Estimation theory Von Mises–Fisher distribution Statistical theory Expectation–maximization algorithm Maximum likelihood Mixture distribution Exponential family Degrees of freedom Von Mises Statistics Directional statistics Probability distributions
284	topicmodels: An R Package for Fitting Topic Models Bettina Gru ¨n Kurt Hornik Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 16:44:43 Bayesian statistics Statistical theory Statistical models Latent Dirichlet allocation Expectation–maximization algorithm Maximum likelihood Mixture model Normal distribution Likelihood function Statistics Estimation theory Statistical natural language processing
285	Unsupervised Structure Prediction with Non-Parallel Multilingual Guidance Shay B. Cohen Dipanjan Das Noah A. Smith Language Technologies Institute School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-06-21 13:09:56 Machine learning Estimation theory Corpus linguistics Markov models Bioinformatics Mixture model Expectation–maximization algorithm Part-of-speech tagging Stochastic context-free grammar Statistics Probability and statistics Natural language processing
286	Verification using GMM Lakshmanan et. al Spatial Forecast Add to Reading List Source URL: cimms.ou.edu Language: English - Date: 2009-09-14 15:58:05 Estimation theory Generalized method of moments Forecasting Verification and validation Mixture model Statistics Probability and statistics Econometrics
287	Group Anomaly Detection using Flexible Genre Models Liang Xiong Machine Learning Department, Carnegie Mellon University [removed] Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-01-12 12:56:09 Machine learning Data mining Cluster analysis Mixture model Anomaly detection Latent Dirichlet allocation Anomaly Dirichlet process Outlier Statistics Statistical natural language processing Estimation theory
288	A Note on the Expectation-Maximization (EM) Algorithm ChengXiang Zhai Department of Computer Science University of Illinois at Urbana-Champaign November 2, 2004 Add to Reading List Source URL: www.cs.ust.hk Language: English - Date: 2006-03-11 03:50:39 Bayesian statistics Expectation–maximization algorithm Missing data Statistical models Maximum likelihood Likelihood function Mixture model Kullback–Leibler divergence Extremum estimator Statistics Estimation theory Statistical theory
289	Improved Generative Models for Continuous Image Features through Tree-structured Non-parametric Distributions Marwan A. Mattar Erik G. Learned-Miller Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:35 Statistical inference Statistical theory Machine learning Kullback–Leibler divergence Naive Bayes classifier Bayesian network Mixture model Maximum likelihood Normal distribution Statistics Statistical models Bayesian statistics
290	Applications of finite mixtures of regression models Bettina Gru ¨n Friedrich Leisch Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-24 11:27:12 Statistical models Actuarial science Estimation theory Linear regression Logistic regression Multinomial logit Binomial regression Generalized linear model Mixture distribution Statistics Regression analysis Econometrics

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