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Graphical model
Results: 650

#	Item
211	Graphical Displays for Identified and Unidentified Latent Class Cluster and Factor Models Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2005-02-08 16:08:20 Statistical models Structural equation models Categorical data Latent class model Latent variable Factor analysis Data analysis Confirmatory factor analysis Parameter Statistics Psychometrics Multivariate statistics
212	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
213	Computerized Model Based Functional Safety Analysis Muhammed Zoheb Hossain ⇤ Mattias Nyberg ⇤⇤ Olena Rogovchenko ⇤⇤⇤ Peter Fritzson ⇤⇤⇤⇤ ⇤ Add to Reading List Source URL: www.openmodelica.org Language: English - Date: 2012-04-16 11:00:05 Systems science Bayesian statistics Statistical models Simulation software Fault tree analysis Modelica Bayesian network Graphical model SimulationX Systems engineering Statistics Reliability engineering
214	Bayesian Network Structures and Inference Techniques for Automatic Speech Recognition Geoffrey Zweig IBM T. J. Watson Research Center, Yorktown Heights, NY, Abstract Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2001-11-15 14:02:40 Probability and statistics Statistical models Bioinformatics Hidden Markov model Bayesian network Graphical model Markov chain Speech recognition Causality Statistics Bayesian statistics Markov models
215	STRUCTURALLY DISCRIMINATIVE GRAPHICAL MODELS FOR AUTOMATIC SPEECH RECOGNITION – RESULTS FROM THE 2001 JOHNS HOPKINS SUMMER WORKSHOP Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2005-03-03 12:04:50 Graphical models Networks Machine learning Bayesian network Speech recognition Mutual information Expectation–maximization algorithm Hidden Markov model Generative model Statistics Statistical models Bayesian statistics
216	Ecology, 84(11), 2003, pp. 3055–3063 q 2003 by the Ecological Society of America META-ANALYSIS OF ANIMAL MOVEMENT USING STATE-SPACE MODELS IAN D. JONSEN,1,3 RANSOM A. MYERS,1 Add to Reading List Source URL: www.fmap.ca Language: English - Date: 2011-04-09 11:26:20 Econometrics Graphical models Parametric statistics Bayes factor Statistical model Kalman filter Meta-analysis Hierarchical Bayes model Autoregressive conditional heteroskedasticity Statistics Statistical theory Bayesian statistics
217	Integration of User Interface and Conceptual Modeling Babak Amin Farshchian, John Krogstie, Arne Slvberg Faculty of Electrical Engineering and Computer Science Norwegian Institute of Technology University of Trondheim, Add to Reading List Source URL: ui4all.ics.forth.gr Language: English - Date: 2007-11-27 14:03:31 User interface modeling Humanâ€“computer interaction User interface management systems Modeling language Data model Graphical user interface Usability ECO User interface Software User interfaces Computing
218	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
219	Learning Bayesian Networks for Improved Instruction Cache Analysis Mark Bartlett, Iain Bate and James Cussens Department of Computer Science University of York Heslington, York, UK Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2012-05-02 15:17:24 Computer hardware Computer architecture Central processing unit Bayesian network Networks CPU cache Worst-case execution time Graphical model Cache Statistics Bayesian statistics Statistical models
220	Bayesian Model Averaging Using the k-best Bayesian Network Structures Jin Tian, Ru He and Lavanya Ram Department of Computer Science Iowa State University Ames, IA 50011 Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2010-06-14 14:21:41 Bayesian inference Markov chain Graphical model Marginal likelihood Estimation theory Prior probability Particle filter Bayesian inference in phylogeny Statistics Bayesian statistics Bayesian network

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