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Latent learning
Results: 355

#	Item
51	FLSA: Extending Latent Semantic Analysis with features for dialogue act classification Riccardo Serafin CEFRIEL Via FuciniMilano, Italy Add to Reading List Source URL: nlp.cs.uic.edu Language: English - Date: 2013-03-02 15:00:28 Natural language processing Computational linguistics Latent semantic analysis Machine learning Search engine indexing LSA Fair Labor Standards Act Semantic analysis
52	Differential Dementia Diagnosis on Incomplete Data with Latent Trees Christian Ledig1 , Sebastian Kaltwang1 , Antti Tolonen2 , Juha Koikkalainen3 , Philip Scheltens4 , Frederik Barkhof4 , Hanneke Rhodius-Meester4 , Betty Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2016-07-01 12:05:05 Machine learning Statistical analysis Statistical classification Statistical models Model selection Imputation Support vector machine Cross-validation Mixture model Data analysis Standard deviation Outlier
53	Learning Minimal Latent Directed Information Trees Add to Reading List Source URL: coleman.ucsd.edu Language: English Graphical models Probability theory Statistical models Graph theory Markov random field Binary tree Graph
54	Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs: Appendices A. Probabilistic Soft Logic users (i.e., users that are not top users). Add to Reading List Source URL: stephenbach.net Language: English - Date: 2015-05-20 14:49:19
55	LEARNING HIDDEN VARIABLES IN PROBABILISTIC GRAPHICAL MODELS T HESIS SUBMITTED FOR THE DEGREE OF Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:23 Statistical models Bayesian network Graphical model Nir Friedman Hidden variable theory Causality Expectationmaximization algorithm Expected value Latent variable
56	1 Running head: INTRODUCTION TO LATENT SEMANTIC ANALYSIS An Introduction to Latent Semantic Analysis Thomas K Landauer Add to Reading List Source URL: csee.essex.ac.uk Language: English - Date: 2003-10-01 12:19:24 Natural language processing Semantics Latent semantic analysis Machine learning Computational linguistics Cognition Semantic network Singular value decomposition Matrix Dimensionality reduction Semantic memory Semantic similarity
57	Topic Modeling Variation across News Sources Gregory Ichneumon Brown ABSTRACT In this project we apply topic models to news articles to infer topics that provide insight into the variation between to Add to Reading List Source URL: greg.ichneumon.net Language: English - Date: 2015-01-21 23:31:22 Statistical natural language processing Statistics Probability Artificial intelligence Topic model Latent Dirichlet allocation Dirichlet distribution Gibbs sampling Usenet newsgroup News Unsupervised learning Dynamic topic model
58	Learning the Dependency Structure of Latent Factors Yunlong He∗ Georgia Institute of Technology Add to Reading List Source URL: koray.kavukcuoglu.org Language: English
59	Supplementary Material for “Distributed Online Learning for Latent Dirichlet Allocation” JinYeong Bak, Dongwoo Kim and Alice Oh Department of Computer Science Korea Advanced Institute of Science and Technology Add to Reading List Source URL: uilab.kaist.ac.kr Language: English - Date: 2012-11-28 21:09:53
60	Bayesian Manifold Learning: the Locally Linear Latent Variable Model (LL-LVM) Mijung Park1, Wittawat Jitkrittum1, Ahmad Qamar2, Zolt´ an Szab´ o1, Lars Buesing3, Maneesh Sahani1 2: Thread Genius, Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2015-12-02 23:17:02

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