1174 search results - page 20 / 235 » Boosting for transfer learning |
COLT
2003
Springer
15 years 3 months ago
2003
Springer
ICPR
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper we propose a new distributed learning method called distributed network boosting (DNB) algorithm for distributed applications. The learned hypotheses are exchanged b...
109
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PAMI
2011
14 years 4 months ago
2011
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
129
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ECML
2007
Springer
15 years 4 months ago
2007
Springer
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
FOCS
1999
IEEE
15 years 2 months ago
1999
IEEE
This paper connects two fundamental ideas from theoretical computer science: hard-core set construction, a type of hardness amplification from computational complexity, and boosti...