1174 search results - page 50 / 235 » Boosting for transfer learning |
145
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
105
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COLT
2000
Springer
15 years 2 months ago
2000
Springer
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...
CIKM
2008
Springer
14 years 12 months ago
2008
Springer
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146
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AIM
2011
14 years 1 months ago
2011
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...
ANLP
2000
14 years 11 months ago
2000
Bagging and boosting, two effective machine learning techniques, are applied to natural language parsing. Experiments using these techniques with a trainable statistical parser ar...