Causal Analysis for Troubleshooting and Decision Support System Byoung Uk Kim, Sonia Vohnout, Esko Mikkola Mingyang Li, Jian Liu

Source URL: www.ridgetopgroup.com

• Networks
• Statistical models
• Bayesian network
• Causality
• Graph theory
• Bayesian inference
• Graphical model
• Causal model
• Network theory
• Directed acyclic graph
• Pattern recognition
• Dependency network

Analysis  of  Massive  Data  Streams   using  R  and  AMIDST   Page 9 of 73 FP7-ICTAMIDST

Source URL: static.amidst.eu

• Graphical models
• Statistical models
• Statistical inference
• Bayesian network
• Networks
• Bayesian statistics
• Bayesian
• Joint probability distribution
• Bayesian inference

FROM GENE EXPRESSION TO MOLECULAR PATHWAYS T HESIS SUBMITTED FOR THE DEGREE OF “D OCTOR OF P HILOSOPHY ” BY

Source URL: www.cs.huji.ac.il

• Networks
• Statistical models
• Nir Friedman
• Gene regulatory network
• Bayesian network
• Thank You
• Algorithm
• Graphical model
• Causality

Is Holism A Problem For Inductive Inference? A Computational Analysis Maxwell A. Bertolero () Thomas L. Griffiths (tom ) Department of Psychology & Helen Wills Neuroscience Ins

Source URL: cocosci.berkeley.edu

• Network theory
• Graph theory
• Networks
• Statistical models
• Algebraic graph theory
• Community structure
• Modularity
• Connectivity
• Bayesian network
• Graphical model
• Graph
• Clique

Exact Bayesian Learning of Ancestor Relations in Bayesian Networks Exact Bayesian Learning of Ancestor Relations in Bayesian Networks Supplementary Material Yetian Chen

Source URL: jmlr.org

Neural Networks, 14(3):7-24, AprilInvited article) Bayesian Approach for Neural Networks – Review and Case Studies Jouko Lampinen and Aki Vehtari Laboratory of Computational Engineering, Helsinki University of

Source URL: www.lce.hut.fi

On the concentration of expectation and approximate inference in layered networks Michael I. Jordan University of California Berkeley, CA 94720

Source URL: dept.stat.lsa.umich.edu

• Graphical models
• Probability distributions
• Bayesian network
• Networks
• Normal distribution
• Variational Bayesian methods
• Belief propagation
• Exponential family

Efficient Bayesian Learning in Social Networks with Gaussian Estimators Elchanan Mossel∗ and Omer Tamuz† arXiv:1002.0747v2 [stat.AP] 18 Apr 2010

Source URL: people.hss.caltech.edu

Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach Shuo Yang Tushar Khot

Source URL: ai2-website.s3.amazonaws.com

• Markov models
• Relational model
• Machine learning
• Probability distribution
• Bayesian network
• Reinforcement learning
• Relational data mining
• Loss function

Bayesian Inference for Contact Networks Given Epidemic Data CHRIS GROENDYKE Department of Statistics, Pennsylvania State University DAVID WELCH Department of Statistics, Pennsylvania State University;

Source URL: sites.stat.psu.edu