408 search results - page 38 / 82 » Learning Preferences for Multiclass Problems |
ALT
2001
Springer
15 years 6 months ago
2001
Springer
While there has been a significant amount of theoretical and empirical research on the multiple-instance learning model, most of this research is for concept learning. However, f...
ECML
2007
Springer
15 years 1 months ago
2007
Springer
Class binarizations are effective methods for improving weak learners by decomposing multi-class problems into several two-class problems. This paper analyzes how these methods can...
NIPS
2003
14 years 11 months ago
2003
We present a family of margin based online learning algorithms for various prediction tasks. In particular we derive and analyze algorithms for binary and multiclass categorizatio...
102
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CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
104
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ECAI
2004
Springer
15 years 1 months ago
2004
Springer
Functional genomics is a typical scientific discovery domain characterized by a very large number of attributes (genes) relative to the number of examples (observations). The dang...