ECML
2007
Springer
13 years 11 months ago
2007
Springer
Co-training is a semi-supervised learning paradigm which trains two learners respectively from two different views and lets the learners label some unlabeled examples for each oth...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
Discriminative reranking has been able to significantly improve parsing performance, and co-training has proven to be an effective weakly supervised learning algorithm to bootstr...
PAKDD
2009
ACM
13 years 11 months ago
2009
ACM
Co-training, a paradigm of semi-supervised learning, may alleviate effectively the data scarcity problem (i.e., the lack of labeled examples) in supervised learning. The standard ...
CVPR
2009
IEEE
14 years 12 months ago
2009
IEEE
Many perception and multimedia indexing problems involve datasets that are naturally comprised of multiple streams or modalities for which supervised training data is only sparsely...