711 search results - page 75 / 143 » An Empirical Comparison of Selection Methods in Evolutionary... |
GECCO
2008
Springer
14 years 11 months ago
2008
Springer
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
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SAC
2006
ACM
15 years 3 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
ICPR
2004
IEEE
15 years 11 months ago
2004
IEEE
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
GECCO
2007
Springer
15 years 4 months ago
2007
Springer
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
ICML
2010
IEEE
14 years 11 months ago
2010
IEEE
Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...