2190 search results - page 179 / 438 » Learning with the Set Covering Machine |
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
ICALT
2008
IEEE
14 years 4 months ago
2008
IEEE
Collaboration has long been considered an effective approach to learning. However, forming optimal groups can be a time consuming and complex task. Different approaches have been ...
COLT
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. We establish a generic theoretical tool to construct probabilistic bounds for algorithms where the output is a subset of objects from an initial pool of candidates (or mo...