709 search results - page 56 / 142 » Dynamically Adapting Kernels in Support Vector Machines |
137
Voted
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
The use of Mercer kernel methods in statistical learning theory provides for strong learning capabilities, as seen in kernel principal component analysis and support vector machin...
147
Voted
ACL
2006
15 years 5 months ago
2006
In this paper we define a novel similarity measure between examples of textual entailments and we use it as a kernel function in Support Vector Machines (SVMs). This allows us to ...
131
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ML
2002
ACM
15 years 3 months ago
2002
ACM
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
143
Voted
JMLR
2011
14 years 11 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
165
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PAKDD
2009
ACM
15 years 8 months ago
2009
ACM
Abstract. Over the last decade several prediction methods have been developed for determining structural and functional properties of individual protein residues using sequence and...