817 search results - page 23 / 164 » Learning Techniques for Automatic Algorithm Portfolio Select... |
ECIR
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
109
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GIS
2009
ACM
15 years 3 months ago
2009
ACM
Raster maps are widely available and contain useful geographic features such as labels and road lines. To extract the geographic features, most research work relies on a manual st...
106
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GECCO
2006
Springer
15 years 3 months ago
2006
Springer
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
100
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CORR
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
93
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JAIR
2010
14 years 10 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...