354 search results - page 23 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
176
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VLDB
2004
ACM
16 years 8 hour ago
2004
ACM
Ranking queries produce results that are ordered on some computed score. Typically, these queries involve joins, where users are usually interested only in the top-k join results....
111
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EACL
2009
ACL Anthology
16 years 11 days ago
2009
ACL Anthology
Spoken Language Understanding aims at mapping a natural language spoken sentence into a semantic representation. In the last decade two main approaches have been pursued: generati...
142
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KDD
2012
ACM
13 years 2 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
COLING
2010
14 years 6 months ago
2010
Several researchers have proposed semi-supervised learning methods for adapting event extraction systems to new event types. This paper investigates two kinds of bootstrapping met...
104
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AIRWEB
2006
Springer
15 years 3 months ago
2006
Springer
Spam pages on the web use various techniques to artificially achieve high rankings in search engine results. Human experts can do a good job of identifying spam pages and pages wh...