228 search results - page 7 / 46 » Ensemble Learning Based on Multi-Task Class Labels |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
I consider the setting of transductive learning of vertex labels in graphs, in which a graph with n vertices is sampled according to some unknown distribution; there is a true lab...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
The standard method for combating spam, either in email or on the web, is to train a classifier on manually labeled instances. As the spammers change their tactics, the performanc...
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
We consider a special type of multi-label learning where class assignments of training examples are incomplete. As an example, an instance whose true class assignment is (c1, c2, ...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We study the problem of object classification when training
and test classes are disjoint, i.e. no training examples of
the target classes are available. This setup has hardly be...