Learning Probabilistic Networks (1998)

by Paul J Krause
Venue:THE KNOWLEDGE ENGINEERING REVIEW
Citations:36 - 1 self

Active Bibliography

12 Population Markov Chain Monte Carlo – Kathryn Blackmond Laskey, James Myers - 2003
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
2 Modeling the Impact of Organizational Change: A Bayesian Network Approach – Ronald D. Anderson, R. Thomas Lenz - 2001
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
7 Prior Information and Generalized Questions – Jörg C. Lemm - 1996
unknown title – Learning Bayesian
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
MLnet Summer School on Machine Learning and Knowledge Acquisition: LEARNING AND PROBABILITIES – Wray Buntine
Bayesian Modelling in Machine Learning: A Tutorial Review – Matthias Seeger - 2009
5 Technical Introduction: A Primer on Probabilistic Inference – Thomas L. Griffiths, Alan Yuille - 2006
2 Stochastic Complexity Based Estimation of Missing Elements in Questionnaire Data – Henry Tirri, Tomi Silander - 1998
9 Exploiting parameter domain knowledge for learning in Bayesian networks – Radu Stefan Niculescu - 2005
23 Bayesian models of cognition – Thomas L. Griffiths, Charles Kemp, Joshua B. Tenenbaum
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
3 On the Accuracy of Stochastic Complexity Approximations – Petri Kontkanen, Petri Myllymaki, Tomi Sil, Henry Tirri
3 Towards an inclusion driven learning of Bayesian Networks – Robert Castelo, Tomas Kocka - 2002
124 Learning dynamic Bayesian networks – Zoubin Ghahramani - 1998
249 Operations for Learning with Graphical Models – Wray L. Buntine - 1994