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JMLR
2010
113views more  JMLR 2010»
13 years 1 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...
CORR
2008
Springer
153views Education» more  CORR 2008»
13 years 6 months ago
Decomposition Techniques for Subgraph Matching
In the constraint programming framework, state-of-the-art static and dynamic decomposition techniques are hard to apply to problems with complete initial constraint graphs. For suc...
Stéphane Zampelli, Martin Mann, Yves Devill...
CAEPIA
2009
Springer
13 years 7 months ago
Empirical Hardness for Mixed Auctions
Mixed Multi-Unit Combinatorial Auctions (MMUCAs) offer a high potential to be employed for the automated assembly of supply chains of agents. However, little is known about the fac...
Pablo Almajano, Jesús Cerquides, Juan A. Ro...
PATAT
2004
Springer
148views Education» more  PATAT 2004»
14 years 2 days ago
Interactively Solving School Timetabling Problems Using Extensions of Constraint Programming
Timetabling problems have been frequently studied due to their wide range of applications. However, they are often solved manually because of the lack of appropriate computer tools...
Hadrien Cambazard, Fabien Demazeau, Narendra Jussi...
NA
2010
82views more  NA 2010»
13 years 5 months ago
Semi-definite programming techniques for structured quadratic inverse eigenvalue problems
In the past decade or so, semi-definite programming (SDP) has emerged as a powerful tool capable of handling a remarkably wide range of problems. This article describes an innovat...
Matthew M. Lin, Bo Dong, Moody T. Chu