124 search results - page 13 / 25 » Learning from Positive and Unlabeled Examples with Different... |
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
ML
2006
ACM
13 years 7 months ago
2006
ACM
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
AI
1998
Springer
13 years 11 months ago
1998
Springer
We present ELEM2, a new method for inducing classification rules from a set of examples. The method employs several new strategies in the induction and classification processes to ...
KDD
2001
ACM
14 years 7 months ago
2001
ACM
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
COLT
1998
Springer
13 years 11 months ago
1998
Springer
Most of the work which attempts to give bounds on the generalization error of the hypothesis generated by a learning algorithm is based on methods from the theory of uniform conve...