Learning ELM network weights using linear discriminant analysis

Andr\'e van Schaik; Jonathan Tapson; Philip de Chazal

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Learning ELM network weights using linear discriminant analysis

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arxiv 1406.3100 v1 pith:PJTCCXFP submitted 2014-06-12 cs.NE cs.LGstat.ML

Philip de Chazal , Jonathan Tapson , André van Schaik This is my paper · ORCID

classification cs.NEcs.LGstat.ML

keywords analysisdiscriminantlearninglinearmethodvaluesweightalternative

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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.

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