990 search results - page 165 / 198 » Learning with non-positive kernels |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We propose a family of clustering algorithms based on the maximization of dependence between the input variables and their cluster labels, as expressed by the Hilbert-Schmidt Inde...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
RECOMB
2006
Springer
14 years 8 months ago
2006
Springer
Abstract. We describe and empirically evaluate machine learning methods for the prediction of zinc binding sites from protein sequences. We start by observing that a data set consi...
MICAI
2004
Springer
14 years 1 months ago
2004
Springer
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
COLT
1998
Springer
14 years 20 days ago
1998
Springer
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...