2090 search results - page 170 / 418 » Learning with attribute costs |
ASUNAM
2010
IEEE
13 years 11 months ago
2010
IEEE
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
SDM
2011
SIAM
13 years 13 days ago
2011
SIAM
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
ICDE
2008
IEEE
14 years 4 months ago
2008
IEEE
— We propose a new approach to the problem of schema matching in relational databases that merges the hybrid and composite approach of combining multiple individual matching tech...
ML
2002
ACM
13 years 9 months ago
2002
ACM
Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
IJCNN
2008
IEEE
14 years 4 months ago
2008
IEEE
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...