1334 search results - page 101 / 267 » Composite kernel learning |
145
Voted
ESANN
2007
15 years 4 months ago
2007
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
ESANN
2008
15 years 4 months ago
2008
This paper presents a review of methodology for semi-supervised modeling with kernel methods, when the manifold assumption is guaranteed to be satisfied. It concerns environmental ...
117
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NIPS
2007
15 years 4 months ago
2007
Although kernel measures of independence have been widely applied in machine learning (notably in kernel ICA), there is as yet no method to determine whether they have detected st...
134
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AAAI
2011
14 years 3 months ago
2011
We propose Tree Sequence Kernel (TSK), which implicitly exhausts the structure features of a sequence of subtrees embedded in the phrasal parse tree. By incorporating the capabili...
118
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CSIE
2009
IEEE
15 years 10 months ago
2009
IEEE
— Automated DNA sequencing produces a large amount of raw DNA sequence data that then needs to be classified, organized, and annotation. One major application is the comparison o...