An Introduction to MCMC for Machine Learning Christophe AndrieuNando de FreitasMichael I. Jordan OriginalPaper Pages: 5 - 43
EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence Frank DellaertSteven M. SeitzSebastian Thrun OriginalPaper Pages: 45 - 71
Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation Ernest FokouéD.M. Titterington OriginalPaper Pages: 73 - 94
Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks Nir FriedmanDaphne Koller OriginalPaper Pages: 95 - 125
Improving Markov Chain Monte Carlo Model Search for Data Mining Paolo GiudiciRobert Castelo OriginalPaper Pages: 127 - 158
Population Markov Chain Monte Carlo Kathryn Blackmond LaskeyJames W. Myers OriginalPaper Pages: 175 - 196
