Active Bibliography

Probability Primer 1 – Thomas L. Griffiths, Alan Yuille
579 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
23 Bayesian models of cognition – Thomas L. Griffiths, Charles Kemp, Joshua B. Tenenbaum
by – Kevin Patrick Murphy, Kevin Patrick Murphy, Kevin Patrick Murphy - 2002
Contents lists available at ScienceDirect Computational Biology and Chemistry – Nicole Davis A, Natasha Biddlecom A, David Hecht A, Gary B. Fogel B
872 A tutorial on learning with Bayesian networks – David Heckerman - 1995
845 AN INTRODUCTION TO VARIATIONAL METHODS FOR GRAPHICAL MODELS – Michael I. Jordan, Zoubin Ghahramani , et al.
Bayesian Modelling in Machine Learning: A Tutorial Review – Matthias Seeger - 2009
498 The Infinite Hidden Markov Model – Matthew J. Beal, Zoubin Ghahramani, Carl E. Rasmussen - 2002