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Graphical models
Results: 1083

#	Item
541	Fast Exact Inference for Recursive Cardinality Models Daniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan P. Adams, Dept. of Computer Science Sch. of Eng. & Appl. Sci. University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-06-30 05:37:11 Probability theory Theoretical computer science Operations research Networks Markov random field Belief propagation Function Model theory Algorithm Mathematics Applied mathematics Graphical models
542	Conditional Design Effects for Structural Equation Model Estimates Daniel L. Oberski* Tilburg University, Tilburg, The Netherlands, Abstract Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Multivariate statistics Graphical models Structural equation models Structural equation modeling Sampling Normal distribution Statistics Econometrics Regression analysis
543	Cooperative Multi-Agent Inference over Grid Structured Markov Random Fields Ryan K. Williams and Gaurav S. Sukhatme Abstract— In this work we investigate cooperative inference in multi-agent systems where uncertainty i Add to Reading List Source URL: robotics.usc.edu Language: English - Date: 2013-06-01 19:27:52 Probability theory Networks Statistical models Probability and statistics Mathematics Belief propagation Markov random field Bayesian network Probabilistic logic Graphical models Statistics Bayesian statistics
544	The Hong Kong University of Science and Technology Add to Reading List Source URL: www.bm.ust.hk Language: English - Date: 2015-02-22 23:26:23 Graphical model Physics Machine learning Economic model Model Data analysis Statistical models Statistics Science
545	Testable Implications of Linear Structural Equation Models Bryant Chen Jin Tian Judea Pearl Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2014-04-22 14:09:42 Econometrics Regression analysis Multivariate statistics Graphical models Maximum flow problem Network flow Graph Structural equation modeling Instrumental variable Statistics Mathematics Graph theory
546	Using Bayesian Networks and Simulation for Data Fusion and Risk Analysis Martin Neil, Norman Fenton and David Marquez Queen Mary, University of London, and Agena Ltd, UK Abstract. Bayesian networks (BNs) were pioneered t Add to Reading List Source URL: www.agenarisk.com Language: English - Date: 2010-02-23 15:24:03 Mathematical analysis Bayesian statistics Graphical models Numerical analysis Bayesian network Discretization Marginal distribution Independence Bayesian inference Statistics Probability theory Probability and statistics
547	EXECUTIVE SUMMARY Kodak invents digital photography in 1975 but doesn’t successfully capitalize on its invention for decades. Xerox famously devises the mouse, the laser printer, and the graphical user interface but f Add to Reading List Source URL: www.innosight.com Language: English - Date: 2012-08-14 11:04:12 Marketing Business models Business model innovation Value proposition Business model Eastman Kodak Customer value proposition Business Model Canvas Business Strategic management Management
548	Probabilistic Programming with Figaro Tutorial Avi Pfeffer, Brian Ruttenberg Charles River Analytics, Cambridge, MA 1) Overview and introductionmins) Add to Reading List Source URL: www.cra.com Language: English - Date: 2015-01-19 09:19:44 Probability and statistics Graph theory Networks Statistical models Probability theory Bayesian network Markov random field Factor graph Hidden Markov model Statistics Graphical models Bayesian statistics
549	PHYSICAL REVIEW E 87, Overlapping community detection in complex networks using symmetric binary matrix factorization Zhong-Yuan Zhang* School of Statistics, Central University of Finance and Economics, Ha Add to Reading List Source URL: www.yongyeol.com Language: English - Date: 2013-06-28 15:55:49 Graph theory Network theory Bayesian statistics Statistical models Linear algebra Non-negative matrix factorization Modularity Community structure Graphical model Statistics Mathematics Networks
550	Conditionally Trained Latent Dirichlet Allocation for Text Modeling and Categorization Simon Lacoste-Julien1∗, Fei Sha2 and Michael I. Jordan3 1 2 Add to Reading List Source URL: snowbird.djvuzone.org Language: English - Date: 2008-02-14 15:21:35 Machine learning Latent Dirichlet allocation Topic model Graphical model Statistical classification Generative model Bag of words model in computer vision Statistics Statistical natural language processing Statistical models

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