11th Joint International Conference on Information Sciences

Discrimination of Outer Membrane Proteins using Reformulated Support Vector Machine based on Neutrosophic Set

Authors
Wen Ju 0, H. D. Cheng
Corresponding Author
Wen Ju
0Department of Computer Science, Utah State University
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.77How to use a DOI?
Keywords
Neutrosophic set, reformulated support vector machine, outer membrane proteins (OMPs)
Abstract
Neutrosophic logic is introduced in 1995 as a generalization of fuzzy logic. It includes a new component as neutralities. In this paper, we propose a novel neutronsophic set for SVM inputs and combine it with the reformulated SVM which treats samples differently according to the weighting function. The proposed classifier helps reducing the effects of outliers. We test it on discriminating outer membrane proteins (OMPs) from globular proteins and α-helical membrane proteins using amino acid composition and residue pair information. The experiment results show that the proposed method outperforms the traditional SVM in both classification accuracy and MCC.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.77How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wen Ju
AU  - H. D. Cheng
PY  - 2008/12
DA  - 2008/12
TI  - Discrimination of Outer Membrane Proteins using Reformulated Support Vector Machine based on Neutrosophic Set
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.77
DO  - https://doi.org/10.2991/jcis.2008.77
ID  - Ju2008/12
ER  -