1334 search results - page 109 / 267 » Composite kernel learning |
72
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We propose a new kernel function for attributed molecular graphs, which is based on the idea of computing an optimal assignment from the atoms of one molecule to those of another ...
121
Voted
SYNASC
2007
IEEE
15 years 9 months ago
2007
IEEE
In recent years several models have been proposed for text categorization. Within this, one of the widely applied models is the vector space model (VSM), where independence betwee...
142
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ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...
102
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KDD
2005
ACM
16 years 3 months ago
2005
ACM
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
127
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SIAMCOMP
2008
15 years 3 months ago
2008
Abstract. The Perceptron algorithm, despite its simplicity, often performs well in online classification tasks. The Perceptron becomes especially effective when it is used in conju...