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» Generating generic functions
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93
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ICML
2007
IEEE
16 years 3 months ago
Analyzing feature generation for value-function approximation
We analyze a simple, Bellman-error-based approach to generating basis functions for valuefunction approximation. We show that it generates orthogonal basis functions that provably...
Ronald Parr, Christopher Painter-Wakefield, Lihong...
106
Voted
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 7 months ago
BBOB-benchmarking the generalized generation gap model with parent centric crossover
The generalized generation gap (G3) model of an evolutionary algorithm equipped with the parent centric crossover (PCX) is tested on the BBOB 2009 benchmark testbed. To improve it...
Petr Posik
182
Voted
SAGA
2009
Springer
15 years 9 months ago
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Boris Defourny, Damien Ernst, Louis Wehenkel
113
Voted
COMBINATORICS
2002
69views more  COMBINATORICS 2002»
15 years 2 months ago
Spanning Trees and Function Classes
If G = Kn is the complete graph, the classical Pr
Jeffrey B. Remmel, S. G. Williamson
COR
2008
107views more  COR 2008»
15 years 2 months ago
Evolutionary functional testing
Evolutionary Testing is a promising approach for automating the testing of software-based systems. A number of papers have been published in the last years which have successfully...
Oliver Bühler, Joachim Wegener