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Mixture model
Results: 969

#	Item
741	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
742	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
743	Probabilistic Dyadic Data Analysis with Local and Global Consistency Deng Cai∗ DENGCAI @ CAD . ZJU . EDU . CN Xuanhui Wang† XWANG 20@ CS . UIUC . EDU Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2009-05-18 12:16:26 Multivariate statistics Natural language processing Categorical data Probabilistic latent semantic analysis Latent Dirichlet allocation Document clustering Expectation–maximization algorithm Topic model Mixture model Statistics Statistical natural language processing Machine learning
744	Adaptive p-Posterior Mixture-Model Kernels for Multiple Instance Learning 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 23:50:00 Computational statistics Multiple-instance learning Supervised learning Support vector machine Semi-supervised learning Kernel Statistical classification K-nearest neighbor algorithm Machine learning Artificial intelligence Learning
745	Efficient Resource-constrained Retrospective Analysis of Long Video Sequences Daozheng Chen, Mustafa Bilgic, Lise Getoor, David Jacobs Department of Computer Science University of Maryland, College Park Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2011-12-26 12:18:04 Mathematics Cybernetics Algorithm Mathematical logic Theoretical computer science Hidden Markov model Forward–backward algorithm Mixture model Sampling Statistics Machine learning Markov models
746	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
747	Problem Sets • Problem Set 3 – Distributed Tuesday, 3/18. – Due Thursday, 4/3 • Problem Set 4 Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2003-03-13 18:22:00 Machine learning Regression analysis Estimation theory Expectation–maximization algorithm Mixture model Segmentation Variance Parameter Statistics Data analysis Statistical models
748	Group Norm for Learning Latent Structural SVMs Daozheng Chen UMD, College Park Dhruv Batra Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2012-06-25 21:35:08 Latent variable model Latent variable Mixture model Support vector machine Hidden Markov model Statistics Statistical models Expectation–maximization algorithm
749	Entropy-Based Criterion in Categorical Clustering Tao Li TAOLI @ CS . ROCHESTER . EDU Department of Computer Science, University of Rochester, Rochester, NY[removed]USA Sheng Ma Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:21:06 Machine learning Statistical theory Cluster analysis Multivariate statistics Mutual information Entropy K-means clustering Feature selection Mixture model Statistics Probability and statistics Information theory
750	Estimating Local Optimums in EM Algorithm over Gaussian Mixture Model Zhenjie Zhang [removed] Bing Tian Dai [removed] Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-21 03:08:30 Maximum likelihood Generalized method of moments M-estimator Entailment Mixture model Statistics Estimation theory Expectation–maximization algorithm

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