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Conditional probability
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#	Item
121	SCARF: A Segmental Conditional Random Field Toolkit for Speech Recognition Geoffrey Zweig and Patrick Nguyen Microsoft Corporation One Microsoft Way, Redmond, WAgzweig, Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2010-05-11 19:52:41 Speech recognition Probability Markov models Statistical natural language processing Phonetics Conditional random field N-gram Language model Acoustic model Computational linguistics Linguistics Science
122	Proceedings of the 16th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC 2013), The Hague, The Netherlands, October 6-9, 2013 MoB3.2 Add to Reading List Source URL: www.mrt.kit.edu Language: English - Date: 2014-06-13 04:07:58 Statistical models Probability and statistics Mathematics Perception Belief propagation Coding theory Bayesian network Conditional random field Visual perception Graphical models Statistics Bayesian statistics
123	COPYRIGHT NOTICE: Herbert Gintis: Game Theory Evolving is published by Princeton University Press and copyrighted, © 2009, by Princeton University Press. All rights reserved. No part of this book may be reproduced in an Add to Reading List Source URL: press.princeton.edu Language: English - Date: 2008-12-11 15:02:14 Probability and statistics Probability space Conditional probability Expected value Convergence of random variables Random variable Probability theory Statistics Mathematical analysis
124	A Segmental CRF Approach to Large Vocabulary Continuous Speech Recognition Geoffrey Zweig and Patrick Nguyen Microsoft Research, Redmond, WA {gzweig,panguyen}@microsoft.com Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-09-05 12:53:28 Computational linguistics Statistical natural language processing Graphical models Theoretical computer science Maximum-entropy Markov model Speech recognition N-gram Conditional random field Hidden Markov model Markov models Probability Statistics
125	Graphical Models David M. Blei Columbia University September 17, 2014 These lecture notes follow the ideas in Chapter 2 of An Introduction to Probabilistic Graphical Models by Michael Jordan. In addition, many of the fi Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Graphical model Conditional probability distribution Independence Joint probability distribution Conditioning Hidden Markov model Maths24 Probability theory Statistics Probability
126	Bayesian Belief Network Dr. Saed Sayad University of Toronto 2010 Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2010-12-18 23:36:22 Probability and statistics Probability Conditional probability Mutually exclusive events Bayesian network Joint probability distribution Probability theory Statistics Mathematics
127	Learning Influence Probabilities In Social Networks Amit Goyal Francesco Bonchi Laks V. S. Lakshmanan Add to Reading List Source URL: www.wsdm-conference.org Language: English - Date: 2009-12-30 01:37:52 Statistical models Graph theory Bayesian statistics Probability and statistics Networks Markov processes Method of conditional probabilities Statistics Graphical models Connectivity
128	Moments of Two-Variable Functions and the Uniqueness of Graph Limits Christian Borgs Jennifer Chayes L´aszl´o Lov´asz Microsoft Research, Redmond, WA 98052 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-18 10:23:27 Measure theory Probability space Sigma-algebra Conditional expectation Hilbert space Direct integral Mathematical analysis Probability theory Mathematics
129	Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing Long (Leo) Zhu Department of Statistics University of California at Los Angeles Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-06-10 16:49:54 Artificial intelligence Graphical models Statistical models Bioinformatics Constellation model Expectation–maximization algorithm Conditional random field Bayesian network Supervised learning Statistics Machine learning Probability and statistics
130	An automatic report for the dataset : 02-solar The Automatic Statistician Abstract This report was produced by the Automatic Bayesian Covariance Discovery Add to Reading List Source URL: automaticstatistician.com Language: English - Date: 2014-07-15 07:06:37 Data analysis Bayesian statistics Probability theory Variance Autoregressive conditional heteroskedasticity Normal distribution Prior probability Errors and residuals in statistics Statistics Regression analysis Time series analysis

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