37

Improved learning of Bayesian networks
– Robert Castelo, Craig Boutilier
 2001

3

Bayesian Network Structure Learning by Recursive Autonomy Identification Raanan Yehezkel ∗ Video Analytics Group
– Boaz Lerner, Constantin Aliferis

17

A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests
– Luis M. de Campos
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35

Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory
– Jie Cheng, David Bell, Weiru Liu
 1997

93

Learning Bayesian Networks from Data: An InformationTheory Based Approach
– Jie Cheng, Russell Greiner, Jonathan Kelly, David Bell, Weiru Liu

849

A tutorial on learning with Bayesian networks
– David Heckerman
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4

A Recursive Method for Structural Learning of Directed Acyclic Graphs
– Xianchao Xie, Zhi Geng

913

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

12

The TETRAD Project: Constraint Based Aids to Causal Model Specification
– Richard Scheines , Peter Spirtes, Clark Glymour, Christopher Meek, Thomas Richardson


Bayesian AI Tutorial
– Kevin B. Korb, Ann E. Nicholson

15

Searching for Bayesian Network Structures in the Space of Restricted Acyclic Aprtially Directed Graphs
– Silva Acid, Luis M. de Campos
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28

Causal Inference in the Presence of Latent Variables and Selection Bias
– Peter Spirtes, Christopher Meek, Thomas Richardson

23

Likelihoods and Parameter Priors for Bayesian Networks
– David Heckerman, Dan Geiger
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10

Learning Bayesian Network Classifiers: Searching . . .
– Silvia Acid, Luis M. De Campos, Javier G. Castellano
 2005


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

26

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

58

A Bayesian approach to learning causal networks
– David Heckerman
 1995

3

Towards an inclusion driven learning of Bayesian Networks
– Robert Castelo, Tomas Kocka
 2002

3

A Bayesian Local Causal Discovery Framework
– Subramani Mani
 2005
