1174 search results - page 50 / 235 » Boosting for transfer learning |
163
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CVPR
2009
IEEE
16 years 7 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...
122
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COLT
2000
Springer
15 years 4 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
15 years 1 months ago
2008
Springer
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163
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AIM
2011
14 years 3 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
15 years 1 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...