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121	Preface What is assumed? There are two ways of learning about structural equation modeling (SEM). The one I have chosen for this book is best described by an old advertising tag for a sport shoe company: “Just do it” Add to Reading List Source URL: www.stata-press.com Language: English - Date: 2013-08-14 10:05:28 Regression analysis Graphical models Structural equation models Stata Structural equation modeling Factor analysis Path analysis Confirmatory factor analysis Latent variable Statistics Psychometrics Multivariate statistics
122	An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables? Jay Magidson1 and Jeroen K. Vermunt2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:14:41 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
123	Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning Matthew Der and Lawrence K. Saul Department of Computer Science and Engineering University of California, San Diego Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2012-12-11 16:44:36 Statistical classification Data analysis Principal component analysis Singular value decomposition Linear classifier K-nearest neighbor algorithm Dimension reduction Linear discriminant analysis Expectation–maximization algorithm Statistics Multivariate statistics Machine learning
124	LATENT COINCIDENCE ANALYSIS: A HIDDEN VARIABLE MODEL FOR DISTANCE METRIC LEARNING Matthew Der and Lawrence K. Saul, University of California, San Diego 1 INTRODUCTION Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2012-12-11 16:44:37 Statistical models K-nearest neighbor algorithm Mixture model Estimation theory Expectation–maximization algorithm Statistics Machine learning Artificial intelligence
125	Tell Me What You See and I will Show You Where It Is Jia Xu1 Alexander G. Schwing2 Raquel Urtasun2,3 1 University of Wisconsin-Madison 2 University of Toronto 3 TTI Chicago Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-04-21 14:33:16 Theoretical computer science Graphical models Categorical data Artificial intelligence Structured prediction Conditional random field Expectation–maximization algorithm Market segmentation Probabilistic latent semantic analysis Statistics Mathematics Machine learning
126	JOURNAL OF PAMI, VOL. ?, NO. ?, JANUARY 20?? 1 Modeling Natural Images Using Gated MRFs Marc’Aurelio Ranzato, Volodymyr Mnih, Joshua M. Susskind, Geoffrey E. Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-01-16 10:45:22 Psychometrics Multivariate statistics Machine learning Generative model Latent variable Principal component analysis Mixture model Normal distribution Multivariate normal distribution Statistics Statistical models Data analysis
127	Decision Sciences Journal of Innovative Education Volume 5 Number 2 July 2007 Printed in the U.S.A. Media Naturalness and Online Learning: Add to Reading List Source URL: cits.tamiu.edu Language: English - Date: 2007-07-02 10:17:25 Science Social presence theory E-learning Content analysis Latent variable Data analysis Media richness theory Face Media naturalness theory Media technology Education Knowledge
128	Review of Three Latent Class Cluster Analysis Packages: Latent GOLD, poLCA, and MCLUST Dominique HAUGHTON, Pascal LEGRAND, and Sam WOOLFORD McCutcheonBecause LCA is based upon a statistical model, maximum likeli Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2009-03-11 13:58:29 Categorical data Multivariate statistics Latent class model Psychometrics Expectation–maximization algorithm Bayesian information criterion K-means clustering Computer cluster Mixture model Statistics Cluster analysis Machine learning
129	Interpreting Arts Audiences and Cultural Preference Through Twitter Data Shauna Concannon and Matthew Purver Queen Mary University of London Abstract. In this study we work with a multi-arts organ Add to Reading List Source URL: www.eecs.qmul.ac.uk Language: English - Date: 2014-07-29 07:55:06 Science Computational linguistics Social media Statistical classification Text messaging Twitter Topic model Latent Dirichlet allocation Unsupervised learning Statistics Statistical natural language processing Machine learning
130	Active Learning with Constrained Topic Model Yi Yang Northwestern University Shimei Pan Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2014-06-21 18:12:21 Latent Dirichlet allocation Science Relevance Concentration parameter Dynamic topic model Statistical natural language processing Statistics Topic model

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