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Computational Science - ICCS 2004

Volume 3037 of the series Lecture Notes in Computer Science pp 650-653

Kernel Maximum Likelihood Hebbian Learning

  • Jos KoetsierAffiliated withApplied Computation Intelligence Research Unit, University of Paisley
  • , Emilio CorchadoAffiliated withDepartamento de Ingenieria Civil, Universidad de Burgos
  • , Donald MacDonaldAffiliated withApplied Computation Intelligence Research Unit, University of Paisley
  • , Juan CorchadoAffiliated withDepartamento de Informática y Automática, Universidad de Salamanca
  • , Colin FyfeAffiliated withApplied Computation Intelligence Research Unit, University of Paisley

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Abstract

We present a novel method based on a recently proposed extension to a negative feedback network which uses simple Hebbian learning to self-organise called Maximum Likelihood Hebbian learning [2]. We use the kernel version of the ML algorithm on data from a spectroscopic analysis of a stained glass rose window in a Spanish cathedral. It is hoped that in classifying the origin and date of each segment it will help in the restoration of this and other historical stain glass windows.