A DEA approach for model combination
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
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We propose a new ensemble algorithm called "ConvexHull Ensemble Machine (CHEM)." CHEM in Hilbert spaceis developed first and it is modified to regression and clas-sificationproblems. Empirical studies show that in classi-ficationproblems CHEM has similar prediction accuracyas AdaBoost, but CHEM is much more robust to outputnoise. In regression problems, CHEM works competitivelywith other ensemble methods such as Gradient Boost andBagging.