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» Estimation of the Rate-Distortion Function
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NIPS
1996
15 years 1 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
SMA
2010
ACM
200views Solid Modeling» more  SMA 2010»
14 years 6 months ago
Influence functions of the Spearman and Kendall correlation measures
Abstract Nonparametric correlation estimators as the Kendall and Spearman correlation are widely used in the applied sciences. They are often said to be robust, in the sense of bei...
Christophe Croux, Catherine Dehon
ESANN
2008
15 years 1 months ago
Multilayer Perceptrons with Radial Basis Functions as Value Functions in Reinforcement Learning
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...
Victor Uc Cetina
FFA
2010
84views more  FFA 2010»
14 years 10 months ago
Additive functions for number systems in function fields
Let Fq be a finite field with q elements and p ∈ Fq[X, Y ]. In this paper we study properties of additive functions with respect to number systems which are defined in the rin...
Manfred G. Madritsch, Jörg M. Thuswaldner
SEKE
2007
Springer
15 years 5 months ago
Incremental Effort Prediction Models in Agile Development using Radial Basis Functions
One of the impediments to the wide dissemination of software estimation and measurement practices is the significant overhead imposed by these practices on the project and develop...
Raimund Moser, Witold Pedrycz, Giancarlo Succi