A Guide to the Literature on Learning Probabilistic Networks From Data (1996)

Cached

Download Links

by Wray Buntine
Citations:156 - 0 self

Documents Related by Co-Citation

710 A tutorial on learning with Bayesian networks – David Heckerman - 1995
752 Learning Bayesian networks: The combination of knowledge and statistical data – David Heckerman, David M. Chickering - 1995
877 A Bayesian method for the induction of probabilistic networks from data – Gregory F. Cooper, Tom Dietterich - 1992
5667 Probabilistic reasoning in intelligent systems – Judea Pearl - 1988
486 Approximating discrete probability distributions with dependence trees – C. I<. Chow, Sexior Member, C. N. Liu - 1968
214 Operations for Learning with Graphical Models – Wray L. Buntine - 1994
248 A Tutorial on Learning Bayesian Networks – David Heckerman - 1995
208 Learning Bayesian Networks With Local Structure – Nir Friedman, Moises Goldszmidt - 1996
60 Causal inference and causal explanation with background knowledge – C Meek - 1995
189 The Bayesian Structural EM Algorithm – Nir Friedman - 1998
6234 Maximum likelihood from incomplete data via the EM algorithm – A. P. Dempster, N. M. Laird, D. B. Rubin - 1977
6517 Elements of information theory – T Cover, J Thomas - 1991
178 Bayesian analysis in expert systems – D J Spiegelhalter, A P Dawid, S L Lauritzen, R G Cowell - 1993
375 The Infinite Hidden Markov Model – Matthew J. Beal, Zoubin Ghahramani, Carl E. Rasmussen - 2002
155 Probabilistic independence networks for hidden Markov probability models – Padhraic Smyth, David Heckerman, Michael I. Jordan - 1997
201 The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks – I Beinlich, G Suermondt, R Chavez, G Cooper - 1989
120 Learning Bayesian Networks is NP-Complete – David Maxwell Chickering - 1996
41 On the Sample Complexity of Learning Bayesian Networks – Nir Friedman, Zohar Yakhini - 1996
64 A Bayesian Approach to Causal Discovery – David Heckerman, Christopher Meek, Gregory Cooper - 1997