GP ensembles for large-scale data classification

Abstract

An extension of cellular genetic programming for data classification (CGPC) to induce an ensemble of predictors is presented. Two algorithms implementing the bagging and boosting techniques are described and compared with CGPC. The approach is able to deal with large data sets that do not fit in main memory since each classifier is trained on a subset of… (More)
DOI: 10.1109/TEVC.2005.863627

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