Article ID Journal Published Year Pages File Type
471182 Computers & Mathematics with Applications 2008 10 Pages PDF
Abstract

We present the results of an information theory-based approach to select an optimal subset of features for the prediction of protein model quality. The optimal subset of features was calculated by means of a backward selection procedure. The performances of a probabilistic classifier modeled by means of a Kernel Probability Density Estimation method (KPDE) were compared with those of a feed-forward Artificial Neural Network (ANN) and a Support Vector Machine (SVM).

Related Topics
Physical Sciences and Engineering Computer Science Computer Science (General)
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