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IJON
2000
71views more  IJON 2000»
14 years 9 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 9 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 9 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 9 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 9 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...