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Graphical model
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#	Item
71	Learning Abnormal Vessel Behaviour from AIS Data with Bayesian Networks at Two Time Scales∗ Steven Mascaro, Kevin B. Korb and Ann E. Nicholson Clayton School of Information Technology, Monash University August 31, 2010 Add to Reading List Source URL: bayesian-intelligence.com Language: English - Date: 2011-05-17 00:55:39 Statistics Statistical models Machine learning Probability Bayesian networks Graphical models Computational neuroscience Computational statistics Artificial neural network Mixture model
72	Probabilistic Reasoning for Assembly-Based 3D Modeling Add to Reading List Source URL: geometry.stanford.edu Language: English - Date: 2011-09-30 17:04:00 Statistical models Machine learning Bayesian statistics Cluster analysis Mixture model Pattern recognition Graphical model Bayesian network Probabilistic logic Principal component analysis Expectationmaximization algorithm Probability distribution
73	Resource Genome-wide CRISPR Screen in a Mouse Model of Tumor Growth and Metastasis Graphical Abstract Add to Reading List Source URL: zlab.mit.edu Language: English - Date: 2015-03-23 17:52:10
74	Correlated Equilibria in Graphical Games Sham Kakade Michael Kearns Gatsby Neuroscience Unit Add to Reading List Source URL: hunch.net Language: English - Date: 2003-09-18 19:48:18 Game theory Mathematics Statistics Probability Graphical model Markov random field Nash equilibrium Graphical game theory Epsilon-equilibrium Best response Correlated equilibrium Markov chain
75	Submitted to the Annals of Statistics ASYMPTOTIC NORMALITY AND OPTIMALITIES IN ESTIMATION OF LARGE GAUSSIAN GRAPHICAL MODEL By Zhao Ren Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2013-08-28 16:34:55
76	Discussion: Latent variable graphical model selection via convex optimization Add to Reading List Source URL: pages.stat.wisc.edu Language: English - Date: 2013-01-14 19:36:15
77	A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models Brendan J. Frey and Nebojsa Jojic Abstract Computer vision is currently one of the most exciting areas of artificial intelligence re Add to Reading List Source URL: www.isit2004.org Language: English - Date: 2006-08-23 14:49:05 Statistics Statistical models Probability Graphical models Machine learning Statistical theory Bayesian statistics Markov random field Bayesian network Generative model Factor graph Discriminative model
78	Submitted to the Annals of Statistics SUPPLEMENT TO ”ASYMPTOTIC NORMALITY AND OPTIMALITIES IN ESTIMATION OF LARGE GAUSSIAN GRAPHICAL MODEL” By Zhao Ren Add to Reading List Source URL: www.stat.yale.edu Language: English - Date: 2013-08-28 16:35:01
79	Color in Information Display, Vis07Color in Information Display Graphical presentation of information Add to Reading List Source URL: www.stonesc.com Language: English - Date: 2007-11-08 11:25:13 Color Color appearance model Lab color space Hue Colorfulness Munsell color system Color model CIECAM02 Chromaticity Color space CIE 1931 color space RGB color model
80	Where do features come from? Geoffrey Hinton Department of Computer Science, University of Toronto 6 King’s College Rd, M5S 3G4, Canada February 18, 2013 Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-07-13 11:50:55 Artificial neural networks Restricted Boltzmann machine Boltzmann machine Autoencoder Backpropagation Feedforward neural network Generative model Connectionism Supervised learning Graphical model Machine learning Hidden Markov model

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