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Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters

✍ Scribed by Jae H. Min; Young-Chan Lee


Book ID
108127666
Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
373 KB
Volume
28
Category
Article
ISSN
0957-4174

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Computational methods can be used to predict the effects of single amino acid substitutions (single-point mutations). In contrast to previous methods that need many protein sequence and structural features, we applied support vector machines (SVMs) to predict protein function changes associated with