2100 search results - page 254 / 420 » Learning to rank on graphs |
166
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ICDM
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
262
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IWCLS
2007
Springer
16 years 23 days ago
2007
Springer
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
183
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HICSS
2003
IEEE
15 years 12 months ago
2003
IEEE
Libraries of learning objects may serve as basis for deriving course offerings that are customized to the needs of different learning communities or even individuals. Several ways...
171
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ASUNAM
2010
IEEE
15 years 8 months ago
2010
IEEE
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
293
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SIGMOD
2009
ACM
16 years 6 months ago
2009
ACM
When a database query has a large number of results, the user can only be shown one page of results at a time. One popular approach is to rank results such that the "best&quo...