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ICANN
2007
Springer
16 years 9 days ago
Deformable Radial Basis Functions
Radial basis function networks (RBF) are efficient general function approximators. They show good generalization performance and they are easy to train. Due to theoretical consider...
Wolfgang Hübner, Hanspeter A. Mallot
161
Voted
IOR
2008
113views more  IOR 2008»
15 years 4 months ago
Finding Supply Function Equilibria with Asymmetric Firms
Abstract Firms compete in supply functions when they offer a schedule of prices and quantities into a market; for example, this occurs in many wholesale electricity markets. We stu...
Edward J. Anderson, Xinmin Hu
GI
2004
Springer
15 years 11 months ago
An Architecture Concept for Mobile P2P File Sharing Services
Abstract: File-sharing in mobile networks has differing demands to a P2P architecture. Resource access and mediation techniques must follow constraints given in 2.5G/3G networks. E...
Frank-Uwe Andersen, Hermann de Meer, Ivan Dedinski...
ATAL
2008
Springer
15 years 8 months ago
Transfer of task representation in reinforcement learning using policy-based proto-value functions
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Eliseo Ferrante, Alessandro Lazaric, Marcello Rest...
SIAMSC
2008
191views more  SIAMSC 2008»
15 years 6 months ago
ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions
Abstract. We present a new derivative-free algorithm, ORBIT, for unconstrained local optimization of computationally expensive functions. A trust-region framework using interpolati...
Stefan M. Wild, Rommel G. Regis, Christine A. Shoe...