A simple constraint-based algorithm for efficiently mining observational databases for causal relationships (1997)

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by Gregory F. Cooper
Venue:Data Mining and Knowledge Discovery
Citations:28 - 2 self

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36 Learning Probabilistic Networks – Paul J Krause - 1998
79 A Bayesian Approach to Causal Discovery – David Heckerman, Christopher Meek, Gregory Cooper - 1997
849 A tutorial on learning with Bayesian networks – David Heckerman - 1995
3 A Bayesian Local Causal Discovery Framework – Subramani Mani - 2005
8 Challenge: Where is the Impact of Bayesian Networks in Learning? – Nir Friedman, Moises Goldszmidt, David Heckerman - 1997
2 Bayesian Networks for Genomic Analysis – Paola Sebastiani, Maria M. Abad, Marco F. Ramoni - 2004
10 Causal Inference – Peter Spirtes, Richard Scheines, Clark Glymour, Thomas Richardson, Christopher Meek
28 Causal Inference in the Presence of Latent Variables and Selection Bias – Peter Spirtes, Christopher Meek, Thomas Richardson
unknown title – Learning Bayesian
2 Information Fusion, Causal Probabilistic Network And Probanet II: Inference Algorithms and Probanet System – Heping Pan, Daniel McMichael, Marta Lendjel - 1997
172 A Guide to the Literature on Learning Probabilistic Networks From Data – Wray Buntine - 1996
7 Finding Optimal Bayesian Network Given a Super-Structure – Eric Perrier, Seiya Imoto, Satoru Miyano, Max Chickering
23 Likelihoods and Parameter Priors for Bayesian Networks – David Heckerman, Dan Geiger - 1995
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 Modeling the Impact of Organizational Change: A Bayesian Network Approach – Ronald D. Anderson, R. Thomas Lenz - 2001
114 Machine-Learning Research -- Four Current Directions – Thomas G. Dietterich
564 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
17 A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests – Luis M. de Campos - 2006