SVMs for novel class detection in Bioinformatics

Novelty Detection techniques might be a promising way of dealing with high-dimensional classification problems in Bioinformatics. This paper presents the early results of the use of a One-Class SVM approach to detect novel classes in two Bioinformatics databases. The results are compatible with the theory and inspire further investigations.

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