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Mixture theory
Results: 438

#	Item
311	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
312	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
313	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
314	Thang Nguyen, Yuening Hu, and Jordan Boyd-Graber. Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms. Association for Computational Linguistics, 2014. @inproceedings{Nguyen:Hu Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-07-09 22:19:36 Markov models Estimation theory Linear algebra Latent Dirichlet allocation Mixture model Topic model Hidden Markov model Regularization Expectation–maximization algorithm Statistics Machine learning Statistical natural language processing
315	Cluster Analysis of Heterogeneous Rank Data Ludwig M. Busse Peter Orbanz Joachim M. Buhmann Institute of Computational Science, ETH Zurich, 8092 Zurich, Switzerland Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:24:18 Cluster analysis Statistical models Expectation–maximization algorithm Mixture model Maximum likelihood Statistics Machine learning Estimation theory
316	Supervised dimensionality reduction using mixture models Sajama Alon Orlitsky University of california at San Diego Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:16:12 Machine learning Statistical theory Statistical classification Mixture model Maximum likelihood Supervised learning Expectation–maximization algorithm Linear discriminant analysis Gaussian function Statistics Estimation theory Multivariate statistics
317	Multi-Task Compressive Sensing with Dirichlet Process Priors Yuting Qi YUTING @ EE . DUKE . EDU Dehong Liu LIUDH @ EE . DUKE . EDU Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708 USA Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-26 07:38:52 Compressed sensing Information theory Linear algebra Regression analysis Signal processing Dirichlet process Gamma distribution Kullback–Leibler divergence Mixture model Statistics Probability and statistics Markov models
318	Review by Johnson of Maniscalco et al.: Estimating Natality Rate of Steller Sea Lions at Chiswell Island Rookery, Alaska, 2009 Add to Reading List Source URL: alaskafisheries.noaa.gov Language: English - Date: 2012-08-07 17:32:16 Cluster analysis Machine learning Mixture model Akaike information criterion Survival analysis Estimation theory Statistics Probability and statistics Model selection
319	Discovering Geographical Topics In The Twitter Stream ∗ Liangjie Hong †, Amr Ahmed §, Siva Gurumurthy ¶, Alex Smola §, Kostas Tsioutsiouliklis ¶ Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2012-02-27 20:26:16 Statistical natural language processing Estimation theory Statistical models Cluster analysis Machine learning Mixture model Twitter Topic model Maximum likelihood Statistics Probability and statistics Probability
320	Unified Analysis of Streaming News Amr Ahmed, Qirong Ho Jacob Eisenstein, Eric P. Xing Carnegie Mellon University Pittsburgh, PA 15213, USA {amahmed,qho+,jacobeis,epxing}@cs.cmu.edu Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-04-01 23:46:01 Dynamic topic model Natural language processing Information retrieval Latent Dirichlet allocation Estimation theory Topic model Mixture model Dirichlet process Cluster analysis Statistics Statistical natural language processing Machine learning

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