155 search results - page 1 / 31 » Low Bias Bagged Support Vector Machines |
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
Theoretical and experimental analyses of bagging indicate that it is primarily a variance reduction technique. This suggests that bagging should be applied to learning algorithms ...
SIGIR
2004
ACM
13 years 10 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...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
IJON
2011
12 years 11 months ago
2011
Several theoretical methods have been developed in the past years to evaluate the generalization ability of a classifier: they provide extremely useful insights on the learning ph...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of voting ensembles of kernel ma...