
CONTENTS Causal Networks Learning Acausal Networks Learning Influence Diagrams Learning CausalNetwork Parameters Learning CausalNetwork Structure
– David Heckerman

36

Learning Probabilistic Networks
– Paul J Krause
 1998

299

A Tutorial on Learning Bayesian Networks
– David Heckerman
 1995

913

Learning Bayesian networks: The combination of knowledge and statistical data
– David Heckerman, David M. Chickering
 1995


unknown title
– Learning Bayesian

65

Causal independence for probability assessment and inference using Bayesian networks
– David Heckerman, John S. Breese
 1994

849

A tutorial on learning with Bayesian networks
– David Heckerman
 1995

23

Likelihoods and Parameter Priors for Bayesian Networks
– David Heckerman, Dan Geiger
 1995

172

A Guide to the Literature on Learning Probabilistic Networks From Data
– Wray Buntine
 1996

19

Learning Causal Networks from Data: A survey and a new algorithm for recovering possibilistic causal networks
– Ramon Sangüesa, Ulises Cortés
 1997

564

Dynamic Bayesian Networks: Representation, Inference and Learning
– Kevin Patrick Murphy
 2002


274 Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains
– David Beckerman, Dan Geiger

130

Learning Bayesian Networks is NPHard
– David Chickering, Dan Geiger, David Heckerman
 1994

26

Parameter priors for directed acyclic graphical models and the characterization of several probability distributions
– Dan Geiger, David Heckerman
 1999

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

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

21

Graphical Models for Probabilistic and Causal reasoning
– Judea Pearl
 2004
