395 search results - page 72 / 79 » Learning to rank with partially-labeled data |
ICML
2005
IEEE
16 years 14 days ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
103
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KDD
2008
ACM
16 years 2 days ago
2008
ACM
A large fraction of the URLs on the web contain duplicate (or near-duplicate) content. De-duping URLs is an extremely important problem for search engines, since all the principal...
114
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KDD
2009
ACM
15 years 6 months ago
2009
ACM
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
93
Voted
KDD
2010
ACM
15 years 3 months ago
2010
ACM
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
106
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BMCBI
2010
14 years 11 months ago
2010
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...