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166
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ML
2006
ACM
15 years 6 months ago
2006
ACM
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
154
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PAMI
2000
15 years 6 months ago
2000
I consider the problem of finding all the modes of a mixture of multivariate Gaussian distributions, which has applications in clustering and regression. I derive exact formulas f...
192
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PPSN
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. There is a variety of methods for ranking objectives in multiobjective optimization and some are difficult to define because they require information a priori (e.g. esta...
326
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Genetic algorithms are a population-based Meta heuristics. They have been successfully applied to many optimization problems. However, premature convergence is an inherent charact...
170
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CP
2010
Springer
15 years 4 months ago
2010
Springer
We present two heuristics based on constraint technology that solve the problem of generating air traffic management contingency plans, which are used in the case of a catastrophic...