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» Adaptable Pointer Swizzling Strategies in Object Bases
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ECML
2007
Springer
14 years 1 months ago
Dual Strategy Active Learning
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...
Pinar Donmez, Jaime G. Carbonell, Paul N. Bennett
GECCO
2010
Springer
195views Optimization» more  GECCO 2010»
13 years 11 months ago
Improved step size adaptation for the MO-CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
Thomas Voß, Nikolaus Hansen, Christian Igel
CDC
2009
IEEE
150views Control Systems» more  CDC 2009»
14 years 6 days ago
Cooperative adaptive sampling via approximate entropy maximization
— 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...
Rishi Graham, Jorge Cortés
MASA
2001
Springer
13 years 12 months ago
Adaptive Agents in Argumentation-Based Negotiation
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...
Cosmin Carabelea
IADIS
2003
13 years 8 months ago
Educational Component Model for Adaptive Web-Based Courses
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...
Freddy Duitama, Bruno Defude, Amel Bouzeghoub, Cla...