1256 search results - page 76 / 252 » On Combining Classifiers |
WWW
2009
ACM
14 years 10 months ago
2009
ACM
In order to artificially boost the rank of commercial pages in search engine results, search engine optimizers pay for links to these pages on other websites. Identifying paid lin...
KDD
2002
ACM
14 years 10 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
CIKM
2007
Springer
14 years 4 months ago
2007
Springer
In this work, we attempt to tackle domain-transfer problem by combining old-domain labeled examples with new-domain unlabeled ones. The basic idea is to use old-domain-trained cla...
WACV
2005
IEEE
14 years 3 months ago
2005
IEEE
In this paper we describe a novel method for gait based identity verification based on Bayesian classification. The verification task is reduced to a two class problem (Client or ...
ICPR
2004
IEEE
14 years 11 months ago
2004
IEEE
Recent empirical work has shown that combining predictors can lead to significant reduction in generalization error. The individual predictors (weak learners) can be very simple, ...