2712 search results - page 136 / 543 » On learning algorithm selection for classification |
200
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COLT
2010
Springer
15 years 13 days ago
2010
Springer
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
147
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SDM
2007
SIAM
15 years 3 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
157
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ECCV
2006
Springer
16 years 4 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
117
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ICML
1996
IEEE
16 years 3 months ago
1996
IEEE
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
111
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CORR
2010
Springer
14 years 9 months ago
2010
Springer
A scattering vector is a local descriptor including multiscale and multi-direction co-occurrence information. It is computed with a cascade of wavelet decompositions and complex m...