1334 search results - page 41 / 267 » Composite kernel learning |
140
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PKDD
2010
Springer
15 years 25 days ago
2010
Springer
Abstract. The eigenspectrum of a graph Laplacian encodes smoothness information over the graph. A natural approach to learning involves transforming the spectrum of a graph Laplaci...
ESANN
2008
15 years 3 months ago
2008
In this paper we propose an extension of sequence kernels to the case where the symbols that define the sequences have multiple representations. This configuration occurs in natura...
122
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JMLR
2010
14 years 9 months ago
2010
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
115
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GREC
2005
Springer
15 years 8 months ago
2005
Springer
This paper presents a solution for online composite sketchy shape recognition. The kernel of the strategy treats both stroke segmentation and sketch recognition as an optimization ...
126
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CORR
2012
Springer
13 years 10 months ago
2012
Springer
This paper examines the problem of learning with a finite and possibly large set of p base kernels. It presents a theoretical and empirical analysis of an approach addressing thi...