733 search results - page 63 / 147 » Learning Riemannian Metrics |
177
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CCS
2006
ACM
15 years 10 months ago
2006
ACM
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
191
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SIGIR
2012
ACM
13 years 8 months ago
2012
ACM
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
189
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
193
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ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Online learning algorithms have recently risen to prominence due to their strong theoretical guarantees and an increasing number of practical applications for large-scale data ana...
175
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ICIP
2003
IEEE
16 years 8 months ago
2003
IEEE
Relevance feedback is an attractive approach to developing flexible metrics for content-based retrieval in image and video databases. Large image databases require an index struct...