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ICANN
2005
Springer
15 years 8 months ago
Interpolation Mechanism of Functional Networks
In this paper, the interpolation mechanism of functional networks is discussed. A kind of fourlayer (with 1 input and 1 output unit) and a five-layer (with double input and single...
Yong-Quan Zhou, Licheng Jiao
93
Voted
ESANN
2004
15 years 3 months ago
Functional preprocessing for multilayer perceptrons
In many applications, high dimensional input data can be considered as sampled functions. We show in this paper how to use this prior knowledge to implement functional preprocessin...
Fabrice Rossi, Brieuc Conan-Guez
ATAL
2010
Springer
15 years 3 months ago
Basis function construction for hierarchical reinforcement learning
This paper introduces an approach to automatic basis function construction for Hierarchical Reinforcement Learning (HRL) tasks. We describe some considerations that arise when con...
Sarah Osentoski, Sridhar Mahadevan
104
Voted
CORR
2010
Springer
141views Education» more  CORR 2010»
15 years 1 months ago
Learning Functions of Few Arbitrary Linear Parameters in High Dimensions
Let us assume that f is a continuous function defined on the unit ball of Rd , of the form f(x) = g(Ax), where A is a k×d matrix and g is a function of k variables for k ≪ d. ...
Massimo Fornasier, Karin Schnass, Jan Vybír...
CGF
2010
234views more  CGF 2010»
14 years 12 months ago
3D Surface Reconstruction Using a Generalized Distance Function
We define a generalized distance function on an unoriented 3D point set and describe how it may be used to reconstruct a surface approximating these points. This distance function...
R. Poranne, Craig Gotsman, Daniel Keren