399 search results - page 29 / 80 » Robust Boosting for Learning from Few Examples |
ICML
2007
IEEE
15 years 10 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...
ICCV
2003
IEEE
15 years 11 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...
PVLDB
2008
14 years 9 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...
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RULEML
2004
Springer
15 years 3 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...
ICML
1998
IEEE
15 years 1 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 ...