Graphical models

Results: 1083



#Item
581Missing data / Scientific method / Graphical models / Imputation / Bayesian network / Gibbs sampling / Expectation–maximization algorithm / Latent variable / Causality / Statistics / Data analysis / Statistical models

20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Integrative biostatistical approach shows better performance in missing data analysis using l

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-11-19 22:11:13
582Statistical models / Probability and statistics / Probability theory / Networks / Belief propagation / Bayesian network / Self-organizing map / Connectivity / Statistics / Graphical models / Bayesian statistics

A Cerebral Cortex Model that Self-Organizes Conditional Probability Tables and Executes Belief Propagation Yuuji ICHISUGI Abstract—This paper describes a neural network model of cerebral cortex, BESOM model, that acqui

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Source URL: staff.aist.go.jp

Language: English - Date: 2007-08-19 23:02:56
583Information science / Science / Recommender system / Credibility / Collaborative filtering / Belief propagation / Bayesian network / Graphical models / Statistics / Social information processing

Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media Aaditeshwar Seth, Jie Zhang, and Robin Cohen School of Computer Science University of Waterloo, ON, Canada {a3seth, j44zhang, rcohen}@u

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Source URL: www.cse.iitd.ernet.in

Language: English - Date: 2010-03-02 10:13:33
584Graphical models / Markov random field / Texture mapping / Kernel density estimation / Segmentation / Vehicle Identification Number / Texture / Random field / Statistics / Non-parametric statistics / Texture synthesis

Texture Synthesis via a Non-parametric Markov Random Field Rupert Paget and Dennis Longstaff Cooperative Research Centre for Sensor Signal and Information Processing

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Source URL: www.texturesynthesis.com

Language: English - Date: 2009-01-20 17:54:27
585Graphical models / Networks / Bayesian network / Monotonic function / Expected value / Mathematical analysis / Bayesian statistics / Statistics

Verifying Monotonicity of Bayesian Networks with Domain Experts Linda C. van der Gaag, Petra L. Geenen, Hermina J.M. Tabachneck-Schijf Department of Information and Computing Sciences, Utrecht University, P.O. Box 80.08

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Source URL: www.cs.uu.nl

Language: English - Date: 2006-07-05 05:24:33
586Probability theory / Graph / Tree decomposition / Connectivity / Clique / Tree / Directed graph / Exponential random graph models / Belief propagation / Graph theory / Graphical models / Network theory

STAT 538 Homework 3 Out January 29, 2015 Due February 5, 2015 c Marina Meil˘a

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-01-30 16:24:45
587Statistical models / Networks / Machine learning / Bayesian network / Self-organizing map / Belief propagation / Markov random field / Bayesian inference / Pattern recognition / Statistics / Bayesian statistics / Graphical models

Computational Model of the Cerebral Cortex that Performs Sparse Coding Using a Bayesian Network and Self-Organizing Maps Yuuji Ichisugi1 and Haruo Hosoya2 1

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Source URL: staff.aist.go.jp

Language: English - Date: 2010-11-25 02:24:24
588Nervous system / Cerebrum / Neuroanatomy / Statistical models / Graphical models / Bayesian network / Artificial neural network / Bayesian inference / Cerebral cortex / Statistics / Anatomy / Bayesian statistics

A Computational Model of Motor Areas Based on Bayesian Networks and Most Probable Explanations Yuuji Ichisugi National Institute of Advanced Industrial Science and Technology(AIST) Tsukuba Central 2,Tsukuba,Ibaraki 305-8

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Source URL: staff.aist.go.jp

Language: English - Date: 2012-07-06 01:33:49
589Graphical models / Markov random field / Logarithm / Vehicle Identification Number / Degrees of freedom / Probability and statistics / Statistics / Mathematics / Random field

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE IN, VOL. XX, NO. Y, MONTH[removed]Strong Markov Random Field Model Rupert Paget, Member, IEEE

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Source URL: www.texturesynthesis.com

Language: English - Date: 2009-01-20 18:08:36
590Statistical models / Neural networks / Belief propagation / Coding theory / Bayesian network / Bayesian inference / Markov chain / Self-organizing map / Statistics / Bayesian statistics / Graphical models

© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all

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Source URL: staff.aist.go.jp

Language: English - Date: 2012-07-06 01:33:49
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