ABSTRACT. Novelty detection techniques might be a promising way of dealing with high-dimensional classification problems in Bioinformatics. We present preliminary results of the use of a one-class support vector machine approach to detect novel classes in two Bioinformatics databases. The results are compatible with theory and inspire further investigation. Key words: Novelty detection, Support vector machines, Bioinformatics, Gene expression analysis, Machine learning |
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