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IJON
2000
71views more  IJON 2000»
14 years 11 months ago
Variable selection using neural-network models
In this paper we propose an approach to variable selection that uses a neural-network model as the tool to determine which variables are to be discarded. The method performs a bac...
Giovanna Castellano, Anna Maria Fanelli
AMAI
1999
Springer
14 years 11 months ago
Pattern recognition by an optical thin-film multilayer model
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
Xiaodong Li, Martin K. Purvis
IJON
1998
44views more  IJON 1998»
14 years 11 months ago
Hierarchical RBF networks and local parameters estimate
The method presented here is aimed to a direct fast setting of the parameters of a RBF network for function approximation. It is based on a hierarchical gridding of the input spac...
N. Alberto Borghese, Stefano Ferrari
ML
2002
ACM
146views Machine Learning» more  ML 2002»
14 years 11 months ago
Kernel Matching Pursuit
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
Pascal Vincent, Yoshua Bengio
EOR
2008
80views more  EOR 2008»
14 years 11 months ago
An efficient implementation of a VNS/ILS heuristic for a real-life car sequencing problem
The car sequencing problem consists in sequencing a given set of cars to be produced in a single day. We address one of the variants of this problem, in which the objective of mini...
Celso C. Ribeiro, Daniel Aloise, Thiago F. Noronha...