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» Function Optimization with Coevolutionary Algorithms
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GECCO
2005
Springer
195views Optimization» more  GECCO 2005»
15 years 7 months ago
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
Tanasanee Phienthrakul, Boonserm Kijsirikul
UAI
2008
15 years 2 months ago
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
Richard S. Sutton, Csaba Szepesvári, Alborz...
GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
15 years 7 months ago
Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments
This paper addresses the evolution of control strategies for a collective: a set of entities that collectively strives to maximize a global evaluation function that rates the perf...
Kagan Tumer, Adrian K. Agogino
FSE
2008
Springer
166views Cryptology» more  FSE 2008»
15 years 2 months ago
Accelerating the Whirlpool Hash Function Using Parallel Table Lookup and Fast Cyclical Permutation
Hash functions are an important building block in almost all security applications. In the past few years, there have been major advances in the cryptanalysis of hash functions, es...
Yedidya Hilewitz, Yiqun Lisa Yin, Ruby B. Lee
COCO
1994
Springer
140views Algorithms» more  COCO 1994»
15 years 5 months ago
Random Debaters and the Hardness of Approximating Stochastic Functions
A probabilistically checkable debate system (PCDS) for a language L consists of a probabilisticpolynomial-time veri er V and a debate between Player 1, who claims that the input x ...
Anne Condon, Joan Feigenbaum, Carsten Lund, Peter ...