1859 search results - page 133 / 372 » Using Problems to Learn Service-Oriented Computing |
140
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JAIR
2006
15 years 5 months ago
2006
Resolution is the rule of inference at the basis of most procedures for automated reasoning. In these procedures, the input formula is first translated into an equisatisfiable for...
164
Voted
ML
2012
ACM
14 years 20 days ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
151
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IJCAI
2007
15 years 6 months ago
2007
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
133
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WWW
2008
ACM
16 years 5 months ago
2008
ACM
In the sponsored search model, search engines are paid by businesses that are interested in displaying ads for their site alongside the search results. Businesses bid for keywords...
226
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CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...