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An Efficient Multi-class Support Vector Machine Classifier for Protein Fold Recognition.
- Source :
- Advances in Bioinformatics (9783642132131); 2010, p77-84, 8p
- Publication Year :
- 2010
-
Abstract
- Predicting the three-dimensional (3D) structure of a protein is a key problem in molecular biology. It is also interesting issue for statistical methods recognition. In this paper a multi-class Support Vector Machine (SVM) classifier is used on a real world data set. The SVM is a binary classifier and how to effectively extend a binary to the multi-class classifier case is still an on-going research problem. The new efficient approach is proposed in this paper. The obtained results are promising and reveal areas for possible further work. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783642132131
- Database :
- Complementary Index
- Journal :
- Advances in Bioinformatics (9783642132131)
- Publication Type :
- Book
- Accession number :
- 76786691
- Full Text :
- https://doi.org/10.1007/978-3-642-13214-8_10