139 search results - page 4 / 28 » Numerical differentiation by radial basis functions approxim... |
ICPR
2000
IEEE
14 years 8 months ago
2000
IEEE
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
ICANNGA
2007
Springer
14 years 1 months ago
2007
Springer
Rates of approximation by networks with Gaussian RBFs with varying widths are investigated. For certain smooth functions, upper bounds are derived in terms of a Sobolev-equivalent ...
JAT
2006
13 years 7 months ago
2006
In this paper we discuss Sobolev bounds on functions that vanish at scattered points on the n-sphere Sn in
TMI
2008
13 years 7 months ago
2008
Abstract-- This paper provides a comprehensive and quantitative review of spatial transformations models for nonrigid image registration. It explains the theoretical foundation of ...
ESANN
2008
13 years 9 months ago
2008
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...