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ICDE
2007
IEEE
164views Database» more  ICDE 2007»
14 years 3 months ago
An Integer Linear Programming Approach to Database Design
Existing index selection tools rely on heuristics to efficiently search within the large space of alternative solutions and to minimize the overhead of using the query optimizer ...
Stratos Papadomanolakis, Anastassia Ailamaki
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
14 years 3 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
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...
Tobias Jung, Peter Stone
EMO
2006
Springer
172views Optimization» more  EMO 2006»
14 years 11 days ago
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) combines a mutation operator that adapts its search distribution to the underlying optimization prob...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
GECCO
2009
Springer
180views Optimization» more  GECCO 2009»
14 years 3 months ago
A memetic algorithm for gene selection and molecular classification of cancer
Béatrice Duval, Jin-Kao Hao, Jose Crispin H...
GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
14 years 2 months ago
Automatic feature selection in neuroevolution
Shimon Whiteson, Peter Stone, Kenneth O. Stanley, ...