225 search results - page 2 / 45 » Feature selection is the ReliefF for multiple instance learn... |
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
CVPR
2009
IEEE
15 years 17 hour ago
2009
IEEE
Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...
PAMI
2011
12 years 12 months ago
2011
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
IEAAIE
2003
Springer
13 years 10 months ago
2003
Springer
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...