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Mixture model
Results: 969

#	Item
31	A Machine Learning Approach for Filtering Monte Carlo Noise Add to Reading List Source URL: cvc.ucsb.edu Language: English - Date: 2015-05-13 18:18:10 Artificial intelligence Statistics Computational neuroscience Machine learning Artificial neural networks Computational statistics Mathematical psychology Noise reduction Backpropagation Bilateral filter Mixture model Convolutional neural network
32	Learning Semantic Representations with Hidden Markov Topics Models Mark Andrews () Gabriella Vigliocco () Cognitive, Perceptual and Brain Sciences University College London, Add to Reading List Source URL: www.mjandrews.net Language: English - Date: 2014-12-16 12:40:25 Statistics Probability Machine learning Statistical natural language processing Statistical models Markov models Probability distributions Latent Dirichlet allocation Dirichlet distribution Topic model Mixture model Gibbs sampling
33	A Hierarchical Dirichlet Process Model with Multiple Levels of Clustering for Human EEG Seizure Modeling Drausin Wulsin Dept. of Bioengineering, University of Pennsylvania, Philadelphia, PA USA Shane Jensen Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-07-26 16:23:10 Medicine Clinical medicine Health Epilepsy Stochastic processes Seizure types Hierarchical Dirichlet process Epileptic seizure Dirichlet process Mixture model
34	Construction of Dependent Dirichlet Processes based on Poisson Processes Dahua Lin CSAIL, MIT Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:24:50 Probability Statistics Stochastic processes Markov processes Probability distributions Poisson processes Markov models Poisson point process Poisson distribution Dirichlet process Mixture model Gibbs sampling
35	depmixS4 A flexible package to estimate mixture and hidden Markov models Maarten Speekenbrink () and Ingmar Visser LondonR, 10 September 2013 Add to Reading List Source URL: www.londonr.org Language: English - Date: 2015-08-12 07:29:07 Probability Markov models Statistics Machine learning Statistical models Cluster analysis Mixture model Hidden Markov model Markov chain Mixture distribution
36	Coupled Dirichlet Processes: Beyond HDP John Fisher MIT CSAIL Add to Reading List Source URL: dahua.me Language: English - Date: 2013-01-06 22:23:38 Statistics Probability Stochastic processes Hierarchical Dirichlet process Dirichlet process Dirichlet distribution Mixture model Hidden Markov model Gibbs sampling Probability distribution Poisson point process
37	13th International Society for Music Information Retrieval Conference (ISMIRMULTIVARIATE AUTOREGRESSIVE MIXTURE MODELS FOR MUSIC AUTO-TAGGING Emanuele Coviello Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:27 Statistics Estimation theory M-estimators Time series models Noise Signal processing Expectationmaximization algorithm Autoregressive model Maximum likelihood estimation Mixture model Support vector machine Autoregressive conditional heteroskedasticity
38	C:/usr/ztu/Document/paper/Journal/2008/cviu/revision/CVIU_horse_submission_SF.dvi Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2010-06-26 20:31:07 Feature detection Image processing Artificial intelligence Machine learning Image segmentation Canny edge detector Edge detection Learning Statistics Mixture model
39	Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development Diane J. Hu1 , Laurens van der Maaten1,2 , Youngmin Cho1 , Lawrence K. Saul1 , Sorin Lerner1 1 Dept. of Computer Science & Engin Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Software Probability Statistics Archive formats Dimension reduction Principal component analysis Mixture model Apache Subversion Markov chain Restricted Boltzmann machine Version control Tar
40	The variational hierarchical EM algorithm for clustering hidden Markov models Emanuele Coviello ECE Dept., UC San Diego Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Machine learning Statistics Markov models Artificial intelligence Estimation theory Expectationmaximization algorithm Missing data Hidden Markov model BaumWelch algorithm Forward algorithm Cluster analysis Mixture model

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