522 search results - page 48 / 105 » Dynamic Time-Alignment Kernel in Support Vector Machine |
87
Voted
PKDD
2009
Springer
15 years 5 months ago
2009
Springer
A core problem in data mining is to retrieve data in a easy and human friendly way. Automatically translating natural language questions into SQL queries would allow for the design...
KDD
2008
ACM
15 years 11 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
105
Voted
CIARP
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. It has been shown that many kernel methods can be equivalently formulated as minimal-enclosing-ball (MEB) problems in certain feature space. Exploiting this reduction eff...
118
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ICCV
2003
IEEE
16 years 23 days ago
2003
IEEE
This paper describes a novel application of support vector machines and multiscale texture and color invariants to a problem in biological oceanography: the identification of 6 sp...
CIRA
2007
IEEE
15 years 5 months ago
2007
IEEE
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...