]> 2026-04-04T13:49:47+02:00 Publications:Using unlabelled data to train a multilayer perceptron 500 en <p>This Letter presents an approach to using both labelled and unlabelled data to train a multilayer perceptron. The unlabelled data are iteratively pre-processed by a perceptron being trained to obtain the soft class label estimates. It is demonstrated that substantial gains in classification performance may be achieved from the use of the approach when the labelled data do not adequately represent the entire class distributions. The experimental investigations performed have shown that the approach proposed may be successfully used to train neural networks for learning different classification problems.</p> http://dx.doi.org/10.1023/A:1012707515770 http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:286834 201 3 Neural Processing Letters Journal Paper 179 Using unlabelled data to train a multilayer perceptron 14 2001 2016-09-30T20:42:05Z 2457662.3625579 Using unlabelled data to train a multilayer perceptron 500 0 plainlist list 1 [[:Publications:Using unlabelled data to train a multilayer perceptron]] Using unlabelled data to train a multilayer perceptron# QUERY28dc86e8d8a27e9a4ed1488c80a751c7 500 [2,"smw-datavalue-property-restricted-annotation-use","Publisher"] Using unlabelled data to train a multilayer perceptron# ERR6c155b5d70b69ddb590b4f2e73389c2a 500 [2,"smw-datavalue-property-restricted-annotation-use","Author"] Using unlabelled data to train a multilayer perceptron# ERRe24f17e090c98448f3de99d03182b7b6