1158 search results - page 137 / 232 » Template Generation and Selection Algorithms |
157
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HIS
2004
15 years 6 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
163
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GECCO
2007
Springer
15 years 11 months ago
2007
Springer
Evolutionary algorithms applied in real domain should profit from information about the local fitness function curvature. This paper presents an initial study of an evolutionary...
138
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DAWAK
2005
Springer
15 years 10 months ago
2005
Springer
Abstract. We present a technique for discovering and representing changes between versions of data warehouse structures. We select a tree comparison algorithm, adapt it for the par...
148
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ROBOCUP
1997
Springer
15 years 9 months ago
1997
Springer
In this paper we explain how we applied genetic programming to behavior-based team coordination in the RoboCup Soccer Server domain. Genetic programming is a promising new method f...
128
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AUSAI
2006
Springer
15 years 8 months ago
2006
Springer
Attribute subsetting is a meta-classification technique, based on learning multiple base-level classifiers on projections of the training data. In prior work with nearest-neighbour...