A Bayesian Approach to Causal Discovery (1997)

Cached

Download Links

by David Heckerman , Christopher Meek , Gregory Cooper
Citations:79 - 1 self

Active Bibliography

unknown title – Learning Bayesian
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
178 Efficient approximations for the marginal likelihood of Bayesian networks with hidden variables – David Maxwell Chickering, David Heckerman - 1997
36 Learning Probabilistic Networks – Paul J Krause - 1998
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
167 Probabilistic independence networks for hidden Markov probability models – Padhraic Smyth, David Heckerman, Michael I. Jordan - 1996
114 Machine-Learning Research -- Four Current Directions – Thomas G. Dietterich
Aspects of the Interface between STatistics and . . . – Matt Whiley - 1999
12 Learning Bayes net structure from sparse data sets – Kevin P. Murphy - 2001
CONTENTS Causal Networks Learning Acausal Networks Learning Influence Diagrams Learning Causal-Network Parameters Learning Causal-Network Structure – David Heckerman
58 A Bayesian approach to learning causal networks – David Heckerman - 1995
2 Bayesian Networks for Genomic Analysis – Paola Sebastiani, Maria M. Abad, Marco F. Ramoni - 2004
3 Towards an inclusion driven learning of Bayesian Networks – Robert Castelo, Tomas Kocka - 2002
9 Computationally efficient methods for selecting among mixtures of graphical models – B. Thiesson, C. Meek, D. M. Chickering, D. Heckerman - 1999
25 Learning mixtures of DAG models – Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman - 1997
MLnet Summer School on Machine Learning and Knowledge Acquisition: LEARNING AND PROBABILITIES – Wray Buntine
3 On the Accuracy of Stochastic Complexity Approximations – Petri Kontkanen, Petri Myllymaki, Tomi Sil, Henry Tirri
65 Causal independence for probability assessment and inference using Bayesian networks – David Heckerman, John S. Breese - 1994