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» Automatic feature selection in neuroevolution
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GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
14 years 4 months ago
Automatic feature selection in neuroevolution
Shimon Whiteson, Peter Stone, Kenneth O. Stanley, ...
IEEEPACT
2008
IEEE
14 years 5 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
ATAL
2005
Springer
14 years 4 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
IJCNN
2007
IEEE
14 years 5 months ago
Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection
— This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the un...
Hong Zeng, Yiu-ming Cheung