1209 search results - page 16 / 242 » Semi-Supervised Learning with Trees |
111
Voted
NAACL
2007
15 years 5 months ago
2007
Customization to specific domains of discourse and/or user requirements is one of the greatest challenges for today’s Information Extraction (IE) systems. While demonstrably eff...
215
Voted
CVPR
2009
IEEE
16 years 11 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...
143
click to vote
NIPS
2007
15 years 5 months ago
2007
Semi-supervised methods use unlabeled data in addition to labeled data to construct predictors. While existing semi-supervised methods have shown some promising empirical performa...
146
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FLAIRS
2004
15 years 5 months ago
2004
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
145
Voted
AAAI
2008
15 years 6 months ago
2008
Ranking plays a central role in many Web search and information retrieval applications. Ensemble ranking, sometimes called meta-search, aims to improve the retrieval performance b...