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Dirichlet distribution
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#	Item
151	Quon et al. Genome Medicine 2013, 5:29 http://genomemedicine.com/content[removed]METHOD Open Access Add to Reading List Source URL: genomemedicine.com Language: English Prostate cancer Dirichlet distribution Management of cancer Cancer Gene expression profiling Medicine Microarrays Molecular genetics
152	Hierarchical Probabilistic Models for Group Anomaly Detection Liang Xiong Machine Learning Department, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-07-25 14:19:00 Maximum likelihood Expectation–maximization algorithm Anomaly detection Likelihood function Normal distribution Anomaly Latent Dirichlet allocation Outlier Poisson distribution Statistics Estimation theory Mixture model
153	Unsupervised Joint Alignment and Clustering using Bayesian Nonparametrics Marwan A. Mattar Allen R. Hanson Department of Computer Science Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2012-09-09 18:22:40 Cluster analysis Statistical models K-means clustering Mixture model Expectation–maximization algorithm Dirichlet process Chinese restaurant process Pattern recognition Normal distribution Statistics Machine learning Stochastic processes
154	Correlated Topic Models David M. Blei Department of Computer Science Princeton University Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Normal distribution Latent Dirichlet allocation Expectation–maximization algorithm Log-normal distribution Exponential family Topic model Maximum likelihood Multivariate normal distribution Dirichlet distribution Statistics Statistical natural language processing Estimation theory
155	Bayesian Haplotype Inference via the Dirichlet Process Eric Xing† [removed] Roded Sharan† [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:20:48 Population genetics Genetic genealogy Haplotype Dirichlet process Mixture model Expectation–maximization algorithm Gibbs sampling Dirichlet distribution Hardy–Weinberg principle Statistics Genetics Classical genetics
156	Accounting for Burstiness in Topic Models Gabriel Doyle [removed] Department of Linguistics, University of California, San Diego, La Jolla CA[removed], USA Charles Elkan Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:09 Latent Dirichlet allocation Topic model Multivariate Pólya distribution Mixture model Symbol Constructible universe Expectation–maximization algorithm Pachinko allocation Dirichlet distribution Statistics Statistical natural language processing Machine learning
157	Ke Zhai and Jordan Boyd-Graber. Online Topic Models with Infinite Vocabulary. International Conference on Machine Learning, 2013. @inproceedings{Zhai:Boyd-Graber-2013, Title = {Online Topic Models with Infinite Vocabular Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-09 22:19:36 Dynamic topic model Latent Dirichlet allocation Topic model Dirichlet process Mixture model Dirichlet distribution Variational Bayesian methods Information retrieval Prior probability Statistics Probability and statistics Statistical natural language processing
158	Spherical Topic Models Joseph Reisinger JOERAII @ CS . UTEXAS . EDU Austin Waters AUSTIN @ CS . UTEXAS . EDU Add to Reading List Source URL: www.icml2010.org Language: English - Date: 2010-06-13 09:06:49 Topic model Tf*idf Mixture model Probabilistic latent semantic analysis Latent semantic analysis Multivariate Pólya distribution Confidence interval Dynamic topic model Statistics Statistical natural language processing Latent Dirichlet allocation
159	Dirichlet Component Analysis: Feature Extraction for Compositional Data Hua-Yan Wang [removed] Key Laboratory of Machine Perception (Ministry of Education), Peking University Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-04-16 23:53:32 Principal component analysis Nonlinear dimensionality reduction Kernel principal component analysis Dimension reduction Factor analysis Independent component analysis Latent Dirichlet allocation Feature extraction Compositional data Statistics Multivariate statistics Dirichlet distribution
160	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

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