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- W2011097291 abstract "In this work a novel editing technique is proposed. The basic idea of the algorithm is to reward patterns that contribute to a correct classification and to punish those that provide a wrong one. Reward-punishment is performed according to two criteria: the former operates at very local level while the latter analyses the training set at coarser scales in a multi-resolution fashion. A score is calculated for each pattern according to the two criteria and patterns whose score is lower than a predefined threshold are edited out. Experiments carried out on two difficult classification problems show the superiority of this method with respect to other well known approaches." @default.
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- W2011097291 date "2004-08-23" @default.
- W2011097291 modified "2023-09-23" @default.
- W2011097291 title "Reward-punishment editing" @default.
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- W2011097291 doi "https://doi.org/10.1109/icpr.2004.772" @default.
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