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ATAL
2005
Springer
14 years 28 days 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
ICC
2007
IEEE
186views Communications» more  ICC 2007»
13 years 9 months ago
On Channel Coding Selection in Time-Slotted ALOHA Packetized Multiple-Access Systems Over Rayleigh Fading Channels
— In this paper, we consider the time-slotted ALOHA packetized multiple-access system where the transmission channels obey i.i.d (independent identically distributed) Rayleigh fa...
Chen Wei, Pingyi Fan, Khaled Ben Letaief
PPSN
2010
Springer
13 years 5 months ago
Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D Tomography
Abstract. We present and analyse the behaviour of specialised operators designed for cooperative coevolution strategy in the framework of 3D tomographic PET reconstruction. The bas...
Franck Patrick Vidal, Evelyne Lutton, Jean Louchet...
SBBD
2000
168views Database» more  SBBD 2000»
13 years 8 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
NA
2010
85views more  NA 2010»
13 years 5 months ago
The reliability/cost trade-off for a class of ODE solvers
In the numerical solution of ODEs, it is now possible to develop efficient techniques that will deliver approximate solutions that are piecewise polynomials. The resulting methods...
Wayne H. Enright, Li Yan