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GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
14 years 8 days ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...
JAIR
2010
145views more  JAIR 2010»
13 years 6 months ago
Fast Set Bounds Propagation Using a BDD-SAT Hybrid
Binary Decision Diagram (BDD) based set bounds propagation is a powerful approach to solving set-constraint satisfaction problems. However, prior BDD based techniques incur the si...
Graeme Gange, Peter J. Stuckey, Vitaly Lagoon
CG
2000
Springer
14 years 9 hour ago
Chess Neighborhoods, Function Combination, and Reinforcement Learning
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
Robert Levinson, Ryan Weber
WWW
2004
ACM
14 years 8 months ago
Dynamic assembly of learning objects
This paper describes one solution to the problem of how to select sequence, and link Web resources into a coherent, focused organization for instruction that addresses a user'...
Robert G. Farrell, Soyini D. Liburd, John C. Thoma...
VIZSEC
2007
Springer
14 years 1 months ago
An Interactive Attack Graph Cascade and Reachability Display
Abstract Attack graphs for large enterprise networks improve security by revealing critical paths used by adversaries to capture network assets. Even with simplification, current a...
Leevar Williams, Richard Lippmann, Kyle Ingols