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International Conference on Artificial Neural Networks

ICANN 1996: Artificial Neural Networks — ICANN 96 pp 599–604Cite as

Combining statistical models for protein secondary structure prediction

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1112))

Abstract

We investigate the problem of combining experts to predict the secondary structure of globular proteins. We first present two different statistical models for this task. We then analyse an efficient linear combination technique, this sheds light on unexplained phenomena frequently encountered in practice for ensemble methods.

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Author information

Authors and Affiliations

  1. LAFORIA IBP-UA CNRS 1095, Université Pierre et Marie Curie Tour 46-00, Boîte 169, 4, Place Jussieu, 75252, Paris cedex 05, France

    Yann Guermeur & Patrick Gallinari

Authors
  1. Yann Guermeur
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  2. Patrick Gallinari
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Editor information

Christoph von der Malsburg Werner von Seelen Jan C. Vorbrüggen Bernhard Sendhoff

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© 1996 Springer-Verlag Berlin Heidelberg

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Guermeur, Y., Gallinari, P. (1996). Combining statistical models for protein secondary structure prediction. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5_102

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  • DOI: https://doi.org/10.1007/3-540-61510-5_102

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61510-1

  • Online ISBN: 978-3-540-68684-2

  • eBook Packages: Springer Book Archive

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