Abstract
In this paper we propose a general framework for analysing the diversity of ensembles of word sequence recognition systems. The goal of the framework is to enable the application of any diversity measure developed for standard multi-class classification problems to ensembles of word sequence recognisers. Experiments with several diversity measures are conducted on artificial as well as on real world data and show the effectiveness of the proposed approach.
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Bertolami, R., Bunke, H. (2006). Diversity Analysis for Ensembles of Word Sequence Recognisers. In: Yeung, DY., Kwok, J.T., Fred, A., Roli, F., de Ridder, D. (eds) Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2006. Lecture Notes in Computer Science, vol 4109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11815921_74
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DOI: https://doi.org/10.1007/11815921_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37236-3
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