Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory

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Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory

Recently, Denoeux proposed a novel neural network classifier based on the Dempster-Shafer theory. Several of his preliminary experiments in some typical problems demonstrated that the classifier has an excellent performance when compared to other statistical and machine learning approaches. However,...

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Bibliographic Details
Main Author:	Vel Arjunan, Satya Nanda
Format:	Thesis
Language:	English
Published:	2003
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/4382/ http://eprints.utm.my/4382/1/SatyaNandaVelArjunanMFS2003.pdf

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