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Combining Protein Secondary Structure Prediction Methods with a new Multi-Category SVM

Yann Guermeur 1 Dominique Zelus 2
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Building upon a new uniform convergence result derived for real-valued multi-category discriminant models, we propose a theoretical framework for multi-category SVMs design. One of the new SVMs specified in that way is assessed on an open problem in predictive structural biology: protein secondary structure prediction. It is used as an ensemble method to combine the outputs of three of the current best prediction methods.
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https://hal.inria.fr/inria-00099180
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 8:51:35 AM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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  • HAL Id : inria-00099180, version 1

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Yann Guermeur, Dominique Zelus. Combining Protein Secondary Structure Prediction Methods with a new Multi-Category SVM. Intelligent Systems for Molecular Biology - ISMB'2000, 2000, San-Diego, Californie, USA, 1 p. ⟨inria-00099180⟩

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