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Latent learning
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#	Item
141	tpami_submission_review_nov Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2014-06-03 10:22:50 Statistical models Actuarial science Machine learning Linear regression Latent Dirichlet allocation Dirichlet process Nonparametric regression Generalized linear model Logistic regression Statistics Regression analysis Econometrics
142	Latent Hierarchical Structural Learning for Object Detection Long (Leo) Zhu1 Yuanhao Chen2 Alan Yuille 2 William Freeman1 1 2 CSAIL, MIT Department of Statistics, UCLA Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2010-03-31 15:21:18 Dynamic programming Equations Mathematical optimization Operations research Optimal control Systems engineering A* search algorithm Expectation–maximization algorithm Artificial neural network Statistics Mathematics Machine learning
143	Curiosity Based Exploration for Learning Terrain Models Yogesh Girdhar, David Whitney, and Gregory Dudek Abstract— We present a robotic exploration technique in which the goal is to learn a visual model that can be use Add to Reading List Source URL: www.cim.mcgill.ca Language: English - Date: 2014-04-16 12:23:36 Probabilistic latent semantic analysis Perplexity Latent Dirichlet allocation Robot Concentration parameter Topic–comment Statistical natural language processing Statistics Topic model
144	Applications of Latent Variable Models in Modeling Influence and Decision Making Sean M. Gerrish A Dissertation Add to Reading List Source URL: www.seangerrish.com Language: English - Date: 2014-12-29 14:13:12 Bioinformatics Hidden Markov model Natural language processing Topic model Artificial intelligence Machine learning Statistical natural language processing Science
145	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: statisticalinnovations.com Language: English - Date: 2009-01-30 12:07:07 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
146	EURASIP Journal on Advances in Signal Processing This Provisional PDF corresponds to the article as it appeared upon acceptance. Fully formatted PDF and full text (HTML) versions will be made available soon. Class-speci Add to Reading List Source URL: asp.eurasipjournals.com Language: English Tensors Symbol Tensor product Tensor Latent Dirichlet allocation Laplace operator Multilinear subspace learning Singular value decomposition Algebra Mathematics Mathematical analysis
147	software review Deeper into the Trees A new hybrid CHAID application analyzes multiple dependent variables. By Ken Deal Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:48:55 Regression analysis CHAID Market research Marketing Product management SPSS Latent class model Market segmentation Decision tree learning Statistics Computational statistics Decision trees
148	Computational Statistics & Data Analysis – 537 www.elsevier.com/locate/csda Latent class models for classi%cation Jeroen K. Vermunta;∗ , Jay Magidsonb a Department Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2009-07-22 15:03:17 Categorical data Statistical models Machine learning Latent class model Logistic regression Latent variable Linear regression Supervised learning Naive Bayes classifier Statistics Regression analysis Econometrics
149	1 LATENT CLASS CLUSTER ANALYSIS Jeroen K. Vermunt Tilburg University Jay Magidson Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:56 Multivariate statistics Statistical models Psychometrics K-means clustering Latent class model Mixture model Expectation–maximization algorithm Multivariate normal distribution Probability distribution Statistics Cluster analysis Machine learning
150	Latent class models for clustering: A comparison with K-means Jay Magidson Statistical Innovations Inc. Jeroen K. Vermunt Tilburg University Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2006-09-05 12:11:43 K-means clustering Unsupervised learning Mixture model Logistic regression Consensus clustering Statistics Machine learning Cluster analysis

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