44 search results - page 2 / 9 » Learning the kernel parameters in kernel minimum distance cl... |
JCP
2006
13 years 4 months ago
2006
Compared with conventional two-class learning schemes, one-class classification simply uses a single class in the classifier training phase. Applying one-class classification to le...
IJCAI
2007
13 years 6 months ago
2007
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
IJON
2006
13 years 4 months ago
2006
In this paper we propose a novel approach for modeling kernels in Radial Basis Function networks. The method provides an extra degree of flexibility to the kernel structure. This ...
ICDAR
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...