NIPS
2007
14 years 26 days ago
2007
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
SDM
2008
SIAM
14 years 26 days ago
2008
SIAM
The Universum data, defined as a collection of "nonexamples" that do not belong to any class of interest, have been shown to encode some prior knowledge by representing ...
KDD
2009
ACM
2009
ACM
Quantification and semi-supervised classification methods for handling changes in class distribution
14 years 12 months ago
In realistic settings the prevalence of a class may change after a classifier is induced and this will degrade the performance of the classifier. Further complicating this scenari...
ICML
2007
IEEE
15 years 7 days ago
2007
IEEE
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...