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PPSN
2004
Springer
15 years 11 months ago
Ensemble Learning with Evolutionary Computation: Application to Feature Ranking
Abstract. Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings ext...
Kees Jong, Elena Marchiori, Michèle Sebag
IJAR
2010
130views more  IJAR 2010»
15 years 5 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
HCW
2000
IEEE
15 years 11 months ago
Master/Slave Computing on the Grid
Resource selection is fundamental to the performance of master/slave applications. In this paper, we address the problem of promoting performance for distributed master/slave appl...
Gary Shao, Francine Berman, Richard Wolski
WSC
2007
15 years 8 months ago
Implications of heavy tails on simulation-based ordinal optimization
We consider the problem of selecting the best system using simulation-based ordinal optimization. This problem has been studied mostly in the context of light-tailed distributions...
Mark Broadie, Minsup Han, Assaf Zeevi
WWW
2005
ACM
16 years 7 months ago
On optimal service selection
While many works have been devoted to service matchmaking and modeling nonfunctional properties, the problem of matching service requests to offers in an optimal way has not yet b...
Piero A. Bonatti, P. Festa