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Hidden variable
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41	Structured Generative Models of Natural Source Code Chris J. Maddison† University of Toronto CMADDIS @ CS . TORONTO . EDU Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-01 17:03:28 Graphical models Bayesian statistics Machine learning Tree traversal Generative model Bayesian network Latent variable Hidden Markov model N-gram Statistics Statistical models Probability
42	Hidden Variable Structures for Training and Decoding with Graphical Models in ASR Geoff Zweig CLSP WS01 Talk July 6, 2001 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2008-04-15 16:02:42 N-gram Natural language processing Science Artificial intelligence Speech recognition Computational linguistics Linguistics
43	Using a Mixture Latent Markov Model to Analyze Longitudinal U.S. Employment Data Involving Measurement Error Jay Magidson,1 Jeroen K. Vermunt,2 and Bac Tran3 (1) Statistical Innovations Inc., Belmont, MA., U.S. (2) Depar Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2008-01-24 10:25:02 Markov processes Categorical data Econometrics Latent class model Expectation–maximization algorithm Hidden Markov model Markov chain Latent variable Markov property Statistics Markov models Statistical models
44	Personalized News Recommendation with Context Trees Florent Garcin Christos Dimitrakakis Boi Faltings Add to Reading List Source URL: liawww.epfl.ch Language: English - Date: 2013-09-26 07:13:25 Science Recommender system Collaborative filtering GroupLens Research Markov chain Information filtering system Hidden Markov model Kalman filter Variable-order Markov model Markov models Statistics Information science
45	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
46	MACQUARIE UNIVERSITY STATISTICS DEPARTMENT SEMINAR Speaker: A/Prof Xinyuan Song, Department of Statistics, Chinese University of Hong Kong Date: Tuesday 28 April 2015, Time 2pm Venue: E4A523 Title: Statistics analysis of Add to Reading List Source URL: stat.mq.edu.au Language: English - Date: 2015-04-19 22:05:02 Bioinformatics Hidden Markov model Expectation–maximization algorithm Latent variable Estimation theory Book:Machine Learning - The Complete Guide Statistics Statistical models Markov models
47	Uncovering Hidden Loop Level Parallelism in Sequential Applications Hongtao Zhong, Mojtaba Mehrara, Steve Lieberman, and Scott Mahlke Advanced Computer Architecture Laboratory University of Michigan, Ann Arbor, MI 48109 Add to Reading List Source URL: cccp.eecs.umich.edu Language: English - Date: 2007-12-18 01:33:27 Computer programming Automatic parallelization Parallel computing Software pipelining For loop Stream processing Infinite loop Control flow Induction variable Computing Compiler optimizations Software engineering
48	Philosophy of Physics b – Lecture   Review • Two ways in which the quantum state evolves (changes) over time: () For isolated systems, the quantum state evolves in a ‘smooth’, ‘continuous’, determ Add to Reading List Source URL: prce.hu Language: English - Date: 2015-02-27 14:14:00 Hidden variable theory Introduction to quantum mechanics Double-slit experiment Measurement in quantum mechanics Action at a distance Philosophy of physics Determinism Quantum state Quantum entanglement Physics Quantum mechanics Quantum measurement
49	MAXIMUM-LIKELIHOOD ADAPTATION OF SEMI-CONTINUOUS HMMS BY LATENT VARIABLE DECOMPOSITION OF STATE DISTRIBUTIONS Antoine Raux and Rita Singh School of Computer Science, Carnegie Mellon University, USA {antoine, rsingh}@cs.c Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-07-30 13:47:46 Markov models Estimation theory Bioinformatics Hidden Markov model Statistical models Probabilistic latent semantic analysis Expectation–maximization algorithm Mixture model Singular value decomposition Statistics Algebra Mathematics
50	Appeared in IEEE Conference on Computer Vision and Pattern Recognition (CVPRMulti-View Latent Variable Discriminative Models For Action Recognition Yale Song1 , Louis-Philippe Morency2 , Randall Davis1 1 MIT Com Add to Reading List Source URL: labs.yahoo.com Language: English - Date: 2015-01-28 16:02:14 Theoretical computer science Statistical models Bioinformatics Hidden Markov model Markov chain Exponential distribution Economic model Conditional random field Graphical model Statistics Markov models Probability and statistics