399 search results - page 29 / 80 » Robust Boosting for Learning from Few Examples |
155
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ICML
2007
IEEE
16 years 6 months ago
2007
IEEE
We consider a setting for discriminative semisupervised learning where unlabeled data are used with a generative model to learn effective feature representations for discriminativ...
169
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ICCV
2003
IEEE
16 years 7 months ago
2003
IEEE
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
145
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PVLDB
2008
15 years 5 months ago
2008
In this paper we describe a new approach to extract element labels from Web form interfaces. Having these labels is a requirement for several techniques that attempt to retrieve a...
193
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RULEML
2004
Springer
15 years 11 months ago
2004
Springer
The Web is now a huge information repository with a rich semantic structure that, however, is primarily addressed to human understanding rather than automated processing by a compu...
152
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ICML
1998
IEEE
15 years 9 months ago
1998
IEEE
Many systems that learn from examples express the learned concept as a disjunction. Those disjuncts that cover only a few examples are referred to as small disjuncts. The problem ...