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Article
Combining support vector regression with feature selection for multivariate calibration
Multivariate calibration is a classic problem in the analytical chemistry field and frequently solved by partial least squares (PLS) and artificial neural networks (ANNs) in the previous works. The spaciality...
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Article
Open AccessAsymmetric bagging and feature selection for activities prediction of drug molecules
Activities of drug molecules can be predicted by QSAR (quantitative structure activity relationship) models, which overcomes the disadvantages of high cost and long cycle by employing the traditional experimen...
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Article
Open AccessImproving prediction accuracy of tumor classification by reusing genes discarded during gene selection
Since the high dimensionality of gene expression microarray data sets degrades the generalization performance of classifiers, feature selection, which selects relevant features and discards irrelevant and redu...
