1174 search results - page 67 / 235 » Boosting for transfer learning |
132
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ECCV
2008
Springer
16 years 5 months ago
2008
Springer
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
151
Voted
PAMI
2012
13 years 6 months ago
2012
—It has been shown that the Universum data, which do not belong to either class of the classification problem of interest, may contain useful prior domain knowledge for training...
129
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by us...
143
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ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
This paper explores the problem of how to construct lazy decision tree ensembles. We present and empirically evaluate a relevancebased boosting-style algorithm that builds a lazy ...
132
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CIKM
2005
Springer
15 years 5 months ago
2005
Springer
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...