2665 search results - page 247 / 533 » Bundle Methods for Machine Learning |
113
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ECML
2007
Springer
15 years 6 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...
115
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
This work proposes a new approach to the retrieval of images from text queries. Contrasting with previous work, this method relies on a discriminative model: the parameters are sel...
127
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Most classification methods assume that the samples are drawn independently and identically from an unknown data generating distribution, yet this assumption is violated ...
124
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EMNLP
2006
15 years 4 months ago
2006
This paper presents a method of automatically constructing information extraction patterns on predicate-argument structures (PASs) obtained by full parsing from a smaller training...
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...