888 search results - page 4 / 178 » Learning to Select a Ranking Function |
148
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CIKM
2009
Springer
15 years 9 months ago
2009
Springer
Background: Finding relevant articles from PubMed is challenging because it is hard to express the user’s specific intention in the given query interface, and a keyword query ty...
121
Voted
ICML
2004
IEEE
15 years 8 months ago
2004
IEEE
The effort necessary to construct labeled sets of examples in a supervised learning scenario is often disregarded, though in many applications, it is a time-consuming and expensi...
202
Voted
SIGMOD
2007
ACM
16 years 2 months ago
2007
ACM
The family of threshold algorithm (i.e., TA) has been widely studied for efficiently computing top-k queries. TA uses a sort-merge framework that assumes data lists are pre-sorted...
115
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PKDD
2004
Springer
15 years 8 months ago
2004
Springer
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
128
Voted
WSDM
2012
ACM
13 years 10 months ago
2012
ACM
Given a database with missing or uncertain content, our goal is to correct and fill the database by extracting specific information from a large corpus such as the Web, and to d...