502 search results - page 23 / 101 » Learning from General Label Constraints |
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
CLEF
2007
Springer
14 years 2 months ago
2007
Springer
This paper presents my participation to the second Morpho Challenge. Results have been obtained with the algorithm already presented at Morpho Challenge 2005. The system takes a p...
SIGMOD
2010
ACM
14 years 1 months ago
2010
ACM
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
NIPS
1997
13 years 10 months ago
1997
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...