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» Evaluating Adaptive Problem Selection
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GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
14 years 17 days ago
Genetic algorithms for action set selection across domains: a demonstration
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
Greg Lee, Vadim Bulitko
DATAMINE
2002
169views more  DATAMINE 2002»
13 years 8 months ago
Advances in Instance Selection for Instance-Based Learning Algorithms
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...
Henry Brighton, Chris Mellish
SIAMSC
2010
170views more  SIAMSC 2010»
13 years 3 months ago
Adaptive ADER Methods Using Kernel-Based Polyharmonic Spline WENO Reconstruction
An adaptive ADER finite volume method on unstructured meshes is proposed. The method combines high order polyharmonic spline WENO reconstruction with high order flux evaluation. Po...
Terhemen Aboiyar, Emmanuil H. Georgoulis, Armin Is...
ICWS
2010
IEEE
13 years 10 months ago
A MVC Framework for Policy-Based Adaptation of Workflow Processes: A Case Study on Confidentiality
Abstract--Most work on adaptive workflows offers insufficient flexibility to enforce complex policies regarding dynamic, evolvable and robust workflows. In addition, many proposed ...
Kristof Geebelen, Eryk Kulikowski, Eddy Truyen, Wo...
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 11 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu