Sciweavers

88 search results - page 2 / 18
» A Stochastic Radial Basis Function Method for the Global Opt...
Sort
View
ECAI
2010
Springer
13 years 5 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
NIPS
1996
13 years 6 months ago
Radial Basis Function Networks and Complexity Regularization in Function Learning
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
Adam Krzyzak, Tamás Linder
ICC
2007
IEEE
145views Communications» more  ICC 2007»
13 years 11 months ago
Adaptive Radial Basis Function Detector for Beamforming
— We consider nonlinear detection in rank-deficient multiple-antenna assisted beamforming systems. By exploiting the inherent symmetry of the underlying optimal Bayesian detecti...
Sheng Chen, Khaled Labib, Rong Kang, Lajos Hanzo
ESANN
2001
13 years 6 months ago
Learning fault-tolerance in Radial Basis Function Networks
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
Xavier Parra, Andreu Català
SIBGRAPI
2009
IEEE
13 years 11 months ago
Hermite Interpolation of Implicit Surfaces with Radial Basis Functions
—We present the Hermite radial basis function (HRBF) implicits method to compute a global implicit function which interpolates scattered multivariate Hermite data (unstructured p...
Ives Macedo, Joao Paulo Gois, Luiz Velho