Protein Fold Recognition with Combined SVM-RDA Classifier

Predicting the three-dimensional (3D) structure of a protein is a key problem in molecular biology It is also an interesting issue for statistical methods recognition There are many approaches to this problem considering discriminative and generative classifiers In this paper a classifier combining the well-known Support Vector Machine (SVM) classifier with Regularized Discriminant Analysis (RDA) classifier is presented It is used on a real world data set The obtained results improve previously published methods.

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