2190 search results - page 84 / 438 » Learning with the Set Covering Machine |
118
Voted
SIGIR
2004
ACM
15 years 8 months ago
2004
ACM
In this poster we present an overview of the techniques we used to develop and evaluate a text categorisation system for the PRINCIP project which sets out to automatically classi...
124
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
We show that several important Bayesian bounds studied in machine learning, both in the batch as well as the online setting, arise by an application of a simple compression lemma....
149
Voted
WWW
2004
ACM
16 years 3 months ago
2004
ACM
We address the problem of integrating objects from a source taxonomy into a master taxonomy. This problem is not only currently pervasive on the web, but also important to the eme...
104
Voted
CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
125
Voted
IRI
2008
IEEE
15 years 9 months ago
2008
IEEE
Recovering design patterns applied in a system can help refactoring the system. Machine learning algorithms have been successfully applied in mining data patterns. However, one of...