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Mixture model
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#	Item
471	Mixed Membership Models for Time Series Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2013-09-13 14:45:30 Statistical models Markov models Dirichlet process Latent Dirichlet allocation Mixture model Dirichlet distribution Hidden Markov model Probability distribution Concentration parameter Statistics Stochastic processes Statistical natural language processing
472	6.867 Machine learning, lecture 14 (Jaakkola) 1 Lecture topics: • margin and generalization Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Dimension Linear algebra Statistical classification Computational learning theory Mixture model VC dimension Kernel Mixture distribution Perceptron Algebra Mathematics Statistics
473	DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification Simon Lacoste-Julien Computer Science Division UC Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-01-10 00:13:43 Statistical classification Statistical models Information retrieval Latent Dirichlet allocation Linear discriminant analysis Probabilistic latent semantic analysis Mixture model Topic model Maximum likelihood Statistics Statistical natural language processing Machine learning
474	A Sticky HDP-HMM with Application to Speaker Diarization Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2013-09-06 16:11:07 Statistical theory Statistical inference Estimation theory Hidden Markov model Dirichlet process Mixture model Expectation–maximization algorithm Dirichlet distribution Chinese restaurant process Statistics Stochastic processes Statistical models
475	On learning parametric-output HMMs Aryeh Kontorovich Department of Computer Science, Ben-Gurion University, Beer Sheva 84105, Israel. Boaz Nadler Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2013-05-03 03:27:42 Hidden Markov model Markov chain Expectation–maximization algorithm Mixture model Normal distribution Baum–Welch algorithm Speech recognition Stochastic matrix Variance Statistics Markov models Probability and statistics
476	JMLR: Workshop and Conference Proceedings vol:1–36, 2012 25th Annual Conference on Learning Theory A Method of Moments for Mixture Models and Hidden Markov Models Add to Reading List Source URL: newport.eecs.uci.edu Language: English - Date: 2012-05-22 10:47:20 Markov models Cluster analysis Machine learning Mixture model Expectation–maximization algorithm Hidden Markov model Maximum likelihood Matrix multiplication Independent component analysis Statistics Estimation theory Statistical models
477	Nonparametric Bayesian Identification of Jump Systems with Sparse Dependencies ⋆ Emily B. Fox ∗ Erik B. Sudderth ∗∗ Michael I. Jordan ∗∗ Alan S. Willsky ∗ ∗ Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2012-07-06 10:47:56 Probability Hidden Markov model Markov chain Conjugate prior Forward–backward algorithm Normal distribution Mixture model Statistics Markov models Probability and statistics
478	6.867 Machine learning, lecture 17 (Jaakkola) 1 Lecture topics: • Mixture models and clustering, k-means Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Estimation theory Cluster analysis Data mining Expectation–maximization algorithm K-means clustering Information bottleneck method Hierarchical clustering Mixture model Maximum likelihood Statistics Multivariate statistics Machine learning
479	6.867 Machine learning, lecture 19 (Jaakkola) 1 Lecture topics: • Markov chains (cont’d) Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Markov processes Probability Hidden Markov model Markov chain Markov property Mixture model Statistics Markov models Probability and statistics
480	PDF Document Add to Reading List Source URL: www.ibai-publishing.org Language: English - Date: 2013-09-12 08:07:51 Cluster analysis Image processing Segmentation Dirichlet process Mixture model Johann Peter Gustav Lejeune Dirichlet Brainbow Pattern recognition Bedini Statistics Machine learning Probability and statistics

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