Ramon de Graaff

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From a machine learning standpoint, the PAN 2012 Lab contest had one major challenge. In all authorship attribution tasks, the number of training documents was extremely low. We extended our previous work, in which compression distances to randomly selected prototype documents from the training corpus were used as feature representation. A supervised(More)
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