4128 search results - page 319 / 826 » Learning and using relational theories |
207
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
172
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COR
2008
15 years 6 months ago
2008
: The paper presents results on the runtime complexity of two ant colony optimization (ACO) algorithms: Ant System, the oldest ACO variant, and GBAS, the first ACO variant for whic...
168
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ACIVS
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
129
Voted
ICMCS
2005
IEEE
16 years 10 days ago
2005
IEEE
Traditionally artistic color concepts play an important role in the analysis of artworks, and provide valuable domain knowledge to guide the analysis and accurate retrieval of pai...
201
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...