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AAAI
2011
8 years 10 months ago
Value Function Approximation in Reinforcement Learning Using the Fourier Basis
We describe the Fourier Basis, a linear value function approximation scheme based on the Fourier Series. We empirically evaluate its properties, and demonstrate that it performs w...
George Konidaris, Sarah Osentoski, Philip Thomas
GECCO
2011
Springer
270views Optimization» more  GECCO 2011»
9 years 2 months ago
Geometric surrogate-based optimisation for permutation-based problems
In continuous optimisation, surrogate models (SMs) are used when tackling real-world problems whose candidate solutions are expensive to evaluate. In previous work, we showed that...
Alberto Moraglio, Yong-Hyuk Kim, Yourim Yoon
JSCIC
2010
134views more  JSCIC 2010»
9 years 5 months ago
Radial Basis Function Interpolation on Irregular Domain through Conformal Transplantation
Abstract In this paper, Radial Basis Function (RBF) method for interpolating two dimensional functions with localized features defined on irregular domain is presented. RBF points ...
Alfa R. H. Heryudono, Tobin A. Driscoll
CGI
2009
IEEE
9 years 8 months ago
RBF-based image restoration utilising auxiliary points
Utilisation of Radial Basis Functions (RBF) for reconstruction of damaged images became common technique nowadays. This paper deals with computation and utilisation of auxiliary p...
J. Zapletal, Petr Vanecek, Václav Skala
JAT
2010
120views more  JAT 2010»
9 years 9 months ago
Error bounds for anisotropic RBF interpolation
We present error bounds for the interpolation with anisotropically transformed radial basis functions for both function and its partial derivatives. The bounds rely on a growth fu...
Richard K. Beatson, Oleg Davydov, Jeremy Levesley
NA
2007
120views more  NA 2007»
9 years 10 months ago
On choosing "optimal" shape parameters for RBF approximation
Many radial basis function (RBF) methods contain a free shape parameter that plays an important role for the accuracy of the method. In most papers the authors end up choosing this...
Gregory E. Fasshauer, Jack G. Zhang
NPL
2002
145views more  NPL 2002»
9 years 10 months ago
Hybrid Feedforward Neural Networks for Solving Classification Problems
A novel multistage feedforward network is proposed for efficient solving of difficult classification tasks. The standard Radial Basis Functions (RBF) architecture is modified in or...
Iulian B. Ciocoiu
VC
2008
126views more  VC 2008»
9 years 10 months ago
Efficient reconstruction from non-uniform point sets
Abstract We propose a method for non-uniform reconstruction of 3D scalar data. Typically, radial basis functions, trigonometric polynomials or shift-invariant functions are used in...
Erald Vuçini, Torsten Möller, M. Eduar...
CGA
2005
9 years 10 months ago
Hardware-Assisted Feature Analysis and Visualization of Procedurally Encoded Multifield Volumetric Data
Procedural encoding of scattered and unstructured scalar datasets using Radial Basis Functions (RBF) is an active area of research with great potential for compactly representing ...
Manfred Weiler, Ralf P. Botchen, Simon Stegmaier, ...
TMI
2008
124views more  TMI 2008»
9 years 10 months ago
A Review of Geometric Transformations for Nonrigid Body Registration
Abstract-- This paper provides a comprehensive and quantitative review of spatial transformations models for nonrigid image registration. It explains the theoretical foundation of ...
Mark Holden
books