Learning Parsimonious Ensembles for Unbalanced Computational Genomics Problems

Abstract

Prediction problems in biomedical sciences are generally quite difficult, partially due to incomplete knowledge of how the phenomenon of interest is influenced by the variables and measurements used for prediction, as well as a lack of consensus regarding the ideal predictor(s) for specific problems. In these situations, a powerful approach to improving… (More)
DOI: 10.1142/9789813207813_0028

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