2884 search results - page 80 / 577 » Evaluating learning algorithms and classifiers |
143
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GECCO
2004
Springer
15 years 9 months ago
2004
Springer
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
138
Voted
CAIP
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. Many classes of images exhibit sparse structuring of statistical dependency. Each variable has strong statistical dependency with a small number of other variables and ne...
136
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
Boosting methods are known not to usually overfit training data even as the size of the generated classifiers becomes large. Schapire et al. attempted to explain this phenomenon i...
119
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ICCV
2007
IEEE
16 years 6 months ago
2007
IEEE
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
144
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CVPR
2005
IEEE
16 years 6 months ago
2005
IEEE
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...