155 search results - page 20 / 31 » Sparse support vector machines trained in the reduced empiri... |
JMLR
2002
13 years 8 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
IS
2007
13 years 8 months ago
2007
In this paper, we study the use of XML tagged keywords (or simply key-tags) to search an XML fragment in a collection of XML documents. We present techniques that are able to empl...
DCC
2009
IEEE
14 years 9 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Voronoi condensing reduces training patterns of nearest neighbor classifiers without changing the classification boundaries. This method plays important roles not only in the near...