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JMLR
2010
113views more  JMLR 2010»
14 years 10 months ago
Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure
We study the problem of learning an optimal Bayesian network in a constrained search space; skeletons are compelled to be subgraphs of a given undirected graph called the super-st...
Kaname Kojima, Eric Perrier, Seiya Imoto, Satoru M...
134
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ACG
2009
Springer
15 years 7 months ago
A Study of UCT and Its Enhancements in an Artificial Game
Abstract. Monte-Carlo tree search, especially the UCT algorithm and its enhancements, have become extremely popular. Because of the importance of this family of algorithms, a deepe...
David Tom, Martin Müller
145
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IMCSIT
2010
15 years 1 months ago
Enhanced Competitive Differential Evolution for Constrained Optimization
Abstract--The constrained optimization with differential evolution (DE) is addressed. A novel variant of competitive differential evolution with a hybridized search of feasibility ...
Josef Tvrdík, Radka Polakova
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 10 months ago
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...
Gabriela Ochoa, Rong Qu, Edmund K. Burke
104
Voted
ACG
2006
Springer
15 years 9 months ago
Automatic Generation of Search Engines
A plethora of enhancements are available to be used together with the αβ search algorithm. There are so many, that their selection and implementation is a non-trivial task, even ...
Markian Hlynka, Jonathan Schaeffer