Journal of Machine Learning Research1911 Submitted 1/09; Revised 6/09; Published 8/09 Learning Acyclic Probabilistic Circuits Using Test Paths Dana Angluin

Source URL: www.levreyzin.com

• Theoretical computer science
• BPP
• Bayesian network
• Circuit
• Symbol
• Directed acyclic graph

On the Relationship between Sum-Product Networks and Bayesian Networks Han Zhao HAN . ZHAO @ UWATERLOO . CA Mazen Melibari MMELIBAR @ UWATERLOO . CA

Source URL: jmlr.org

• Graphical models
• Statistical models
• Probability theory
• Bayesian network
• Networks
• Variable elimination
• Markov random field

principles practice application: bayesian inference for network data an introduction to bayesian inference with an application to network analysis

Source URL: jakehofman.com

A Comparison of HMMs and Dynamic Bayesian Networks for Recognizing Office Activities Nuria Oliver and Eric Horvitz Adaptive Systems & Interaction, Microsoft Research, Redmond, WA USA {nuria, horvitz}@microsoft.com Abstra

Source URL: www.nuriaoliver.com

• Markov models
• Dynamic Bayesian network
• Hidden Markov model
• Bayesian network
• Activity recognition
• Pattern recognition

Gene regulatory network inference using sparse probabilistic models Evelina Gabaˇsov´a Supervisor: David Barber

Source URL: s3-eu-west-1.amazonaws.com

• Statistics
• Econometrics
• Estimation theory
• Networks
• Statistical methods
• Regression analysis
• Linear regression
• Gene regulatory network
• Bayesian network
• Least squares
• Machine learning
• Lasso

Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data Guy Van den Broeck, Karthika Mohan, Arthur Choi, Adnan Darwiche, and Judea Pearl UCLA

Source URL: web.cs.ucla.edu

Bayesian Artificial Intelligence 1/40 History

Source URL: bayesian-intelligence.com

• Statistical models
• Bayesian statistics
• Philosophy of science
• Statistical inference
• Bayesian network
• Graphical model
• Bayesian
• Inference
• Probabilistic logic
• Causality
• Judea Pearl
• Naive Bayes classifier

Title Bayesian modeling using Stan Abstract The goal of this course is to assist researchers in learning to use Stan to perform Bayesian inference with applications to multilevel modeling and item response theory. The co

Source URL: www.psychometricsociety.org

• Statistics
• Statistical theory
• Monte Carlo software
• Computational statistics
• Statistical inference
• Bayesian statistics
• Bayesian network
• Stan
• Markov chain Monte Carlo
• WinBUGS
• Bayesian inference using Gibbs sampling
• Bayesian inference

A Bayesian Computer Vision System for Modeling Human Interactions Nuria Oliver1, Barbara Rosario1 and Alex Pentland1 1 Vision and Modeling. Media Laboratory, MIT,

Source URL: www.nuriaoliver.com

• Markov models
• Statistics
• Probability
• Statistical models
• Bayesian statistics
• Bioinformatics
• Hidden Markov model
• Markov chain
• Bayesian network
• Kalman filter
• Graphical model
• Bayesian programming

Abstract Submitted for the MAR08 Meeting of The American Physical Society A Bayesian approach to network modularity JAKE HOFMAN, Columbia University, Department of Physics, CHRIS WIGGINS, Columbia University, Department

Source URL: absimage.aps.org