Published on Thu Jun 12 2014

Learning ELM network weights using linear discriminant analysis

Philip de Chazal, Jonathan Tapson, André van Schaik

We present an alternative to the pseudo-inverse method for determining the weight of an object. The method is based on linear discriminant analysis andprovides Bayes optimal single point estimates.

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Abstract

We present an alternative to the pseudo-inverse method for determining the hidden to output weight values for Extreme Learning Machines performing classification tasks. The method is based on linear discriminant analysis and provides Bayes optimal single point estimates for the weight values.