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39
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The max-min hill-climbing bayesian network structure learning algorithm
– Ioannis Tsamardinos, Laura E. Brown, Constantin F. Aliferis
- 2006
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33
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Optimal reinsertion: A new search operator for accelerated and more accurate Bayesian network structure learning
– Andrew Moore, Weng-keen Wong
- 2003
|
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8
|
Finding optimal Bayesian networks by dynamic programming
– Ajit P. Singh, Andrew W. Moore
- 2005
|
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1
|
Java Grande Forum
– Josep Roure I Alcobé, Advisors Dr, Ramon Sangüesa, Dr. Ulises Cortés
- 2004
|
|
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T-Cube: Quick Response to Ad-Hoc Time Series Queries against Large Datasets
– Maheshkumar Sabhnani, Artur Dubrawski, Andrew Moore
|
|
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A Data Structure for Fast Extraction of Time Series from Large Datasets
– Maheshkumar Sabhnani, Andrew W. Moore, Artur W. Dubrawski, Maheshkumar Sabhnani, Andrew W. Moore, Artur W. Dubrawski
- 2007
|
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4
|
Incremental Methods for Bayesian Network Learning
– Josep Roure, Ramón Sangüesa
- 1999
|
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4
|
Learning Bayesian Networks From Dependency Networks: A Preliminary Study
– Geoff Hulten, David Maxwell Chickering, David Heckerman
- 2003
|
|
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LEARNING THE STRUCTURE OF BAYESIAN NETWORKS WITH CONSTRAINT SATISFACTION
– Andrew S. Fast
- 2010
|
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5
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Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering
– Yuhong Guo, Dale Schuurmans
- 2006
|
|
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A New Local Move Operator for Reconstructing Gene Regulatory Networks
– Jimmy V, Simon De Givry
|
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3
|
Summary of biosurveillance-relevant technologies
– Andrew Moore, Greg Cooper, Rich Tsui, Mike Wagner
- 2003
|
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31
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Ordering-based search: A simple and effective algorithm for learning Bayesian networks
– Marc Teyssier
- 2005
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13
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Model averaging for prediction with discrete Bayesian networks
– Denver Dash, Gregory F. Cooper, David Madigan
- 1177
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1
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Avoiding Order Effects in Incremental Learning
– Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa M. A. Basile
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6
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Preserving the confidentiality of categorical statistical data bases when releasing association rules
– Stephen E. Fienberg, Aleksandra B. Slavkovic
- 2005
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Learning in First-Order Probabilistic Representations
– Matthew Richardson
- 2003
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4
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Bayes Net Graphs to Understand Co-authorship Networks?
– Anna Goldenberg, Andrew W. Moore
- 2005
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1
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Improving High-Dimensional Bayesian Network Structure Learning by Exploiting Search Space Information
– Avi Herscovici, Oliver Brock
- 2006
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