16 search results - page 1 / 4 » Multilabel classification via calibrated label ranking |
ML
2008
ACM
13 years 4 months ago
2008
ACM
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operat...
ECAI
2006
Springer
13 years 8 months ago
2006
Springer
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. Hitherto existing approaches to label ranking implicitly operate...
WWW
2009
ACM
14 years 5 months ago
2009
ACM
The explosion of online content has made the management of such content non-trivial. Web-related tasks such as web page categorization, news filtering, query categorization, tag r...
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
ICTAI
2010
IEEE
13 years 2 months ago
2010
IEEE
Ensemble pruning is concerned with the reduction of the size of an ensemble prior to its combination. Its purpose is to reduce the space and time complexity of the ensemble and/or ...