146 search results - page 19 / 30 » Learning to rank with multiple objective functions |
105
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SIGMOD
2002
ACM
15 years 11 months ago
2002
ACM
This paper addresses the problem of evaluating ranked top-? queries with expensive predicates. As major DBMSs now all support expensive user-defined predicates for Boolean queries...
115
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KDD
2012
ACM
13 years 2 months ago
2012
ACM
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
SLSFS
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
102
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Conventional approaches to automatic image annotation usually suffer from two problems: (1) They cannot guarantee a good semantic coherence of the annotated words for each image, ...
87
Voted
ACL
2009
14 years 9 months ago
2009
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...