Learning Bayesian Networks from Dependency Networks: A Preliminary Study (2003)

by Geoff Hulten , David Maxwell Chickering , David Heckerman
Venue:in Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, Key West, FL
Citations:7 - 1 self

Documents Related by Co-Citation

7052 Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference – J Pearl - 1988
156 Dependency networks for inference, collaborative filtering, and data visualization – David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Kadie
10 Comprehensible knowledge discovery in databases – M Pazzani, S Mani, W Shankle - 1997
4 Group consensus probability distributions – S French - 1985
4 Combining probability distributions – C Genest, J V Zidek - 1986
5 Constraints as data: A new perspective on inferring probabilities – Manfred Jaeger - 2001
3 Special issue on knowledge acquisition – S Marcus - 1989
2 Knowledgeintensive concept induction – F Bergadano - 1988
2 Ensemble methods for hybrid neural networks – M P Perrone, L M Cooper - 1993
5 Revenge of the know-it-alls: Inside the Web’s free-advice revolution. Wired – M Frauenfelder - 2000
145 The Utility of Knowledge in Inductive Learning – Michael Pazzani, Dennis Kibler - 1992
456 Building Large Knowledge-Based Systems – D Lenat, R Guha, V - 1990
108 Some practical issues in constructing belief networks – M Henrion - 1987
37 Building Large Knowledge Bases by Mass Collaboration – Matthew Richardson , Pedro Domingos - 2003
28 Reconciliation of discrete probability distributions – D V Lindley - 1985
236 Improving Text Classification by Shrinkage in a Hierarchy of Classes – Andrew Mccallum, Ronald Rosenfeld, Tom Mitchell, Andrew Ng - 1998
2492 Bagging Predictors – Leo Breiman, Leo Breiman - 1996
114 Theory Refinement Combining Analytical and Empirical Methods – Dirk Ourston, Raymond Mooney - 1994
504 Neural Network Ensembles – L K Hansen, P Salamon - 1990