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Chapter and Conference Paper
A Simple Genetic Algorithm for Biomarker Mining
We present a method for prognostics biomarker mining based on a genetic algorithm with a novel fitness function and a bagging-like model averaging scheme. We demonstrate it on publicly available data sets of g...
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Chapter and Conference Paper
Semi-supervised Learning of Sparse Linear Models in Mass Spectral Imaging
We present an approach to learn predictive models and perform variable selection by incorporating structural information from Mass Spectral Imaging (MSI) data. We explore the use of a smooth quadratic penalty ...