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Ensembles based on conformal instance transfer

In this paper we propose a new ensemble method based on conformal instance transfer. The method combines feature selection and source-instance selection to avoid negative transfer in a model-independent way. It was tested experimentally for dierent types of classiers on several benchmark data sets. The experiment results demonstrate that the new method is capable of outperforming signicantly standard instance transfer methods. Keywords: Instance Transfer, Conformal Prediction, Ensembles