354 search results - page 23 / 71 » Top-k learning to rank: labeling, ranking and evaluation |
161
Voted
VLDB
2004
ACM
15 years 10 months 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....
EACL
2009
ACL Anthology
15 years 10 months 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...
126
Voted
KDD
2012
ACM
13 years 3 days 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 4 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...
87
Voted
AIRWEB
2006
Springer
15 years 1 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...