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Graphical model
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131	Advances in Latent Variable Modeling Using the New Mplus Version 7.2 Bengt Muth´en & Tihomir Asparouhov Mplus www.statmodel.com Add to Reading List Source URL: www.modeling.uconn.edu Language: English - Date: 2014-05-30 13:05:52 Multivariate statistics Structural equation models Graphical models Structural equation modeling Latent class model Hierarchical linear modeling Latent variable model Data analysis Latent variable Statistics Statistical models Psychometrics
132	Introduction Examples Graphical Gaussian models Special graph types Adding mean structures Stability of mean spaces Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2012-07-09 08:09:30 Symmetry Graphical model Matrix
133	R Foundations and Trends in Machine Learning Vol. 4, No–373 c 2012 C. Sutton and A. McCallum Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-08-27 13:34:18 Probability Machine learning Statistical models Bayesian statistics Theoretical computer science Conditional random field Hidden Markov model Discriminative model Generative model Statistics Probability and statistics Graphical models
134	Using Microsoft Visual Basic to Create a Graphical Front-End for a CSIM19 Model Add to Reading List Source URL: www.mesquite.com Language: English - Date: 2007-12-06 09:58:40 Integrated development environments Microsoft BASIC Visual Basic Dynamic-link library Visual C++ Windows API .NET framework Microsoft Visual Studio Software Computing Computer programming
135	Non-negative Hidden Markov Modeling of Audio with Application to Source Separation Gautham J. Mysore1⋆ , Paris Smaragdis2 , and Bhiksha Raj3 1 Center for Computer Research in Music and Acoustics, Stanford University, Add to Reading List Source URL: mlsp.cs.cmu.edu Language: English - Date: 2010-09-29 23:42:24 Statistical models Qt Widget toolkits Hidden Markov model Markov chain Speech recognition Mixture model Non-negative matrix factorization Graphical model Software Statistics Markov models
136	TOSCA Testsuite™ White Paper Model-Based Test Automation The use of a non-graphical model as an enabler for effective test automation Add to Reading List Source URL: ww1.prweb.com Language: English - Date: 2013-04-04 07:54:11 Quality assurance Test automation Tosca Automation Model-based testing Manual testing Graphical user interface testing Lightweight software test automation Keyword-driven testing Software testing Technology Software quality
137	Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio∗ FIND . US @ ON . THE . WEB ´ Eric Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:25 Markov chain Monte Carlo Markov models Markov processes Bayesian statistics Markov chain Gibbs sampling Boltzmann machine Generative model Graphical model Statistics Statistical models Probability and statistics
138	Submitted. TECHNICAL REPORT R-449 February 2015 Add to Reading List Source URL: ftp.cs.ucla.edu Language: English - Date: 2015-02-23 19:32:18 Linear regression Instrumental variable Omitted-variable bias Causality Correlation and dependence Spurious relationship Graphical model Conditioning Control theory Statistics Regression analysis Econometrics
139	Recursive Regularization for Large-scale Classification with Hierarchical and Graphical Dependencies∗ Siddharth Gopal Yiming Yang Add to Reading List Source URL: nyc.lti.cs.cmu.edu Language: English - Date: 2013-09-29 12:55:31 Hierarchical Bayes model Regularization Linear classifier Cross-validation Hierarchy Statistics Statistical classification Support vector machine
140	Introduction General Markov theory Graphical independence models Markov properties Summary References Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2012-07-08 13:39:30 Probability and statistics Graphical model Markov chain Markov property COMPASS/Sample Code Statistics Markov models Markov processes

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