A Mixed Ensemble Approach for the Semi-Supervised Problem

In this paper we introduce a mixed approach for the semi-supervised data problem. Our approach consists of an ensemble unsupervised learning part where the labeled and unlabeled points are segmented into clusters.(...)

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Year of publication:	2002-11-01
Authors:	Dimitriadou, Evgenia ; Weingessel, Andreas ; Hornik, Kurt
Publisher:	Wirtschaftsuniversität <Wien>
Subject:	Cluster \| number of clusters \| Maschinelles Lernen \| Klassifikator <Informatik>

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Extent:	83968 bytes 8 p. application/pdf
Series:	Wirtschaftsuniversität Wien - Working Papers Proceedings of ICANN 02, International Conference on Artificial Neural Networks, Madrid, Spain, August 2730, 2002. Springer Verlag
Type of publication:	Book / Working Paper
Language:	English
Classification:	Business data processing. Other aspects ; Individual Working Papers, Preprints ; Individual Conference Proceedings ; No country specification
Source:	USB Cologne (business full texts)

Persistent link: https://www.econbiz.de/10005844778