100 search results - page 7 / 20 » Adaptable Pointer Swizzling Strategies in Object Bases |
159
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ECML
2007
Springer
16 years 18 hour ago
2007
Springer
Abstract. Active Learning methods rely on static strategies for sampling unlabeled point(s). These strategies range from uncertainty sampling and density estimation to multi-factor...
162
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GECCO
2010
Springer
15 years 10 months ago
2010
Springer
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
130
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CDC
2009
IEEE
15 years 10 months ago
2009
IEEE
— This work deals with a group of mobile sensors sampling a spatiotemporal random field whose mean is unknown and covariance is known up to a scaling parameter. The Bayesian pos...
173
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MASA
2001
Springer
15 years 10 months ago
2001
Springer
The paper presents a multi-agent system that comprises a society of self-interested agents that use argumentation-based negotiation to reach agreements regarding cooperation and go...
166
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IADIS
2003
15 years 7 months ago
2003
The primary business problem that a Learning Content Management System faces is to create just enough content, just in time, meeting the needs of different types of learners. A po...