4965 search results - page 416 / 993 » A Simple Abstraction for Data Modeling |
189
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PKDD
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
171
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ECML
2007
Springer
16 years 1 months ago
2007
Springer
Abstract. The area under the ROC curve (AUC) has been widely used to measure ranking performance for binary classification tasks. AUC only employs the classifier’s scores to ra...
174
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NSPW
2006
ACM
16 years 24 days ago
2006
ACM
This work explores issues of computational disclosure control. We examine assumptions in the foundations of traditional problem statements and abstract models. We offer a comprehe...
185
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OOPSLA
2005
Springer
16 years 10 days ago
2005
Springer
We describe (and demonstrate) the execution model of a computing platform where computation is both incremental and data-driven. We call such an approach delta-driven. The platfor...
200
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ASUNAM
2010
IEEE
15 years 8 months ago
2010
IEEE
Abstract--As research into community finding in social networks progresses, there is a need for algorithms capable of detecting overlapping community structure. Many algorithms hav...