Active Bibliography

unknown title – Learning Bayesian
178 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
79 A Bayesian Approach to Causal Discovery – David Heckerman, Christopher Meek, Gregory Cooper - 1997
36 Learning Probabilistic Networks – Paul J Krause - 1998
12 Population Markov Chain Monte Carlo – Kathryn Blackmond Laskey, James Myers - 2003
Aspects of the Interface between STatistics and . . . – Matt Whiley - 1999
167 Probabilistic independence networks for hidden Markov probability models – Padhraic Smyth, David Heckerman, Michael I. Jordan - 1996
2 Modeling the Impact of Organizational Change: A Bayesian Network Approach – Ronald D. Anderson, R. Thomas Lenz - 2001
17 Learning with Mixtures of Trees – Marina Meila-Predoviciu - 1999
114 Machine-Learning Research -- Four Current Directions – Thomas G. Dietterich
7 Bayesian Networks with Applications in Reliability Analysis – Helge Langseth - 2002
9 Exploiting parameter domain knowledge for learning in Bayesian networks – Radu Stefan Niculescu - 2005
Bayesian Modelling in Machine Learning: A Tutorial Review – Matthias Seeger - 2009
7 Prior Information and Generalized Questions – Jörg C. Lemm - 1996
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
2 Stochastic Complexity Based Estimation of Missing Elements in Questionnaire Data – Henry Tirri, Tomi Silander - 1998
3 On the Accuracy of Stochastic Complexity Approximations – Petri Kontkanen, Petri Myllymaki, Tomi Sil, Henry Tirri
9 Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains – Helge Langseth, Thomas D. Nielsen, Richard Dybowski - 2003
Just Enough Die-Level Test: Optimizing IC Test via Machine Learning and Decision Theory – Tony Fountain - 1998