MCMCpack: An Evolving R Package for Bayesian Inference Andrew D. Martin Washington University Kevin M. Quinn Harvard University

Source URL: mcmcpack.berkeley.edu

Adaptor Grammars: A framework for Bayesian non-parametric grammatical inference Mark Johnson joint work with Katherine Demuth, Michael Frank, Sharon Goldwater, Tom Griffiths and Bevan Jones

Source URL: web.science.mq.edu.au

Bayesian Inference for Dirichlet-Multinomials Mark Johnson Macquarie University Sydney, Australia IPAM “Summer School”

Source URL: web.science.mq.edu.au

Bayesian Inference Summer School on Causality, Uncertainty and Ignorance Konstanz, 15-21 August, 2004 David Glass, University of Ulster

Source URL: scm.ulster.ac.uk

Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification Panagiotis E. Hadjidoukas1(B) , Panagiotis Angelikopoulos1 , Lina Kulakova1 , Costas Papadimitriou2 , and Petros Koumoutsakos1 1

Source URL: www.cse-lab.ethz.ch

• Statistics
• Statistical theory
• Bayesian statistics
• Estimation theory
• Parallel computing
• Bayesian network
• Bayesian inference
• Loss function
• Likelihood function
• Uncertainty quantification
• Markov chain Monte Carlo
• Marginal likelihood

INTRODUCTION TO BAYESIAN INFERENCE – PART 2 CHRIS BISHOP Personal Healthcare Revolution

Source URL: mlg.eng.cam.ac.uk

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

Source URL: www.isit2004.org

• Statistics
• Statistical models
• Probability
• Graphical models
• Machine learning
• Statistical theory
• Bayesian statistics
• Markov random field
• Bayesian network
• Generative model
• Factor graph
• Discriminative model

INTRODUCTION TO BAYESIAN INFERENCE – PART 1 CHRIS BISHOP http://research.microsoft.com/~cmbishop

Source URL: mlg.eng.cam.ac.uk

Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction Saurabh Verma1 and Estevam R. Hruschka Jr.2 1

Source URL: rtw.ml.cmu.edu

• Machine learning
• Statistics
• Learning
• Statistical theory
• Coupled pattern learner
• Semi-supervised learning
• Supervised learning
• Naive Bayes classifier
• Statistical classification
• Bayesian inference
• Beta distribution
• Co-training

Ab Initio Identification of Novel Regulatory Elements in the Genome of Trypanosoma brucei by Bayesian Inference on Sequence Segmentation Steven Kelly1,2,3*, Bill Wickstead4,5, Philip K. Maini2,3, Keith Gull3,4 1 Departme

Source URL: www.stevekelly.eu