335 search results - page 42 / 67 » Optimizing F-Measure with Support Vector Machines |
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
ICONIP
2004
13 years 9 months ago
2004
This paper contrasts three related regularization schemes for kernel machines using a least squares criterion, namely Tikhonov and Ivanov regularization and Morozov's discrepa...
BMCBI
2010
13 years 7 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
COMPGEOM
2009
ACM
14 years 2 months ago
2009
ACM
Following recent work of Clarkson, we translate the coreset framework to the problems of finding the point closest to the origin inside a polytope, finding the shortest distance...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...