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Latent variable
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#	Item
11	A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues arXiv:1605.06069v3 [cs.CL] 14 JunIulian V. Serban* , Alessandro Sordoni ‡ , Ryan Lowe , Laurent Charlin , Joelle Pineau , Add to Reading List Source URL: arxiv.org - Date: 2016-06-14 20:48:40
12	A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages Andrea Gesmundo Univ Geneva Dept Computer Sci Add to Reading List Source URL: aclweb.org - Date: 2010-06-15 09:04:09
13	Variational Inference for Latent Variable Modelling of Correlation Structure Andrew G. Wilson Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu - Date: 2015-03-10 02:20:38
14	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: psl.umiacs.umd.edu - Date: 2015-05-18 20:16:52
15	Semi-Supervised and Latent-Variable Models of Natural Language Semantics Dipanjan Das CMU-LTI Add to Reading List Source URL: www.dipanjandas.com - Date: 2012-05-31 11:09:13
16	Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs Stephen H. Bach∗ Bert Huang∗ Jordan Boyd-Graber Lise Getoor Add to Reading List Source URL: stephenbach.net - Date: 2015-07-02 16:31:46
17	Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs Stephen H. Bach∗ Bert Huang∗ Jordan Boyd-Graber Lise Getoor Add to Reading List Source URL: psl.umiacs.umd.edu - Date: 2015-07-02 16:23:02
18	A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:50:53 Statistics Probability Statistical natural language processing Probability distributions Estimation theory Regression analysis Dynamic topic model Latent Dirichlet allocation Variational Bayesian methods Mixture model Topic model Normal distribution
19	Variational Bayesian Learning of Cooperative Vector Quantizer Model - The Theory Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2003-05-06 15:46:12 Statistics Statistical models Bayesian network Latent variable Variational Bayesian methods Independent component analysis Expectationmaximization algorithm Generative model Principal component analysis Bayesian inference Normal distribution Mixture model
20	Hierarchical factor item response theory models for PIRLS: capturing clustering effects at multiple levels 1 Frank Rijmen Add to Reading List Source URL: ierinstitute.org Language: English - Date: 2012-01-04 07:01:18 Statistics Psychometrics Statistical models Educational psychology Educational research Psychological testing Item response theory Progress in International Reading Literacy Study Latent variable Factor analysis Graphical model Expectationmaximization algorithm

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