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Mixture
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#	Item
161	256 Genome Informatics 13: 256–Correlation-Based Cluster Analysis Using Mixture of Constrained PCAs Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2002-12-19 23:03:40 Cluster analysis Data mining Geostatistics Hierarchical clustering Bioinformatics Computer cluster Consensus clustering Biclustering
162	Introduction Mixture Model Evaluation Add to Reading List Source URL: seminar-materials.iijlab.net Language: English - Date: 2015-06-09 22:33:04 Light Round-trip delay time Network performance Transmission Control Protocol Mixture model
163	AUTOMATIC MUSIC TAGGING WITH TIME SERIES MODELS Luke Barrington Emanuele Coviello University of California, University of California, San Diego San Diego Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Estimation theory Statistical models Statistical theory Cluster analysis Machine learning Mixture model Expectationmaximization algorithm Maximum likelihood estimation
164	Human Immunodeficiency Virus (HIV) is a potential precursor to Acquired Immune Deficiency Syndrome (AIDS), which commonly treated with a mixture of reverse transcriptase inhibitors (RTI) and protease inhibitors (PI). Ada Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 HIV/AIDS Protease inhibitors HIV Lentiviruses Reverse-transcriptase inhibitor Carbamates Tuberculosis management
165	inside oil& gas Editorial Calendar 2016 Each edition of Inside Oil & Gas features a dynamic mixture of news, features, Add to Reading List Source URL: insideoilandgas.com - Date: 2016-07-20 05:16:44
166	STEREO RANDOM FIELD FOR BI-LAYER IMAGE SEGMENTATION Kuo-Chin Lien and Jerry D. Gibson Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA {kuochin, gibson}@ece.ucsb.edu ABSTRAC Add to Reading List Source URL: vivonets.ece.ucsb.edu Language: English - Date: 2013-08-15 18:56:12 Image segmentation Computer vision Image processing Mixture model Market segmentation Stereoscopy Rigid motion segmentation Graph cuts in computer vision
167	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOITKDE, IEEE Tr Add to Reading List Source URL: people.tubri.org Language: English - Date: 2015-03-18 18:22:04 Robust statistics Estimation theory Statistical theory Covariance and correlation M-estimators Outlier Maximum likelihood estimation Mixture model Expectationmaximization algorithm Sample mean and covariance Efficiency Normal distribution
168	Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005 Add to Reading List Source URL: www.idep.eco.usi.ch Language: English - Date: 2012-01-04 14:50:59 Statistical models Regression analysis Choice modelling Discrete choice Mode choice Mixed logit Probability distribution Multinomial logistic regression Logistic regression Likelihood function Mixture model Gibbs sampling
169	Chemistry and Environment TECHEM COMPASS User Manual Add to Reading List Source URL: compass.techem-pro.com Language: English - Date: 2015-08-20 03:38:38 Chemical safety GHS hazard statements Safety data sheet CLP Regulation European Chemicals Agency Substance of very high concern GHS precautionary statements Dangerous goods Mixture Globally Harmonized System of Classification and Labelling of Chemicals Dangerous Substances Directive
170	Learning Conditional Random Fields for Stereo Daniel Scharstein Middlebury College Middlebury, VT, USA Chris Pal Add to Reading List Source URL: www.cs.middlebury.edu Language: English - Date: 2007-06-15 21:08:12 Machine learning Graphical models Conditional random field Stereoscopy Vision Image segmentation Markov random field Mixture model Supervised learning Stereopsis Regression analysis

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