2100 search results - page 365 / 420 » Learning to rank on graphs |
130
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CIKM
2009
Springer
15 years 3 months ago
2009
Springer
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
BMCBI
2007
15 years 1 months ago
2007
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
117
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ML
2000
ACM
15 years 1 months ago
2000
ACM
Existing methods for exploiting awed domain theories depend on the use of a su ciently large set of training examples for diagnosing and repairing aws in the theory. In this paper,...
210
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IAAI
2011
14 years 1 months ago
2011
NewsFinder automates the steps involved in finding, selecting and publishing news stories that meet subjective judgments of relevance and interest to the Artificial Intelligence c...
171
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KDD
2012
ACM
13 years 4 months 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....