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- W2626647847 abstract "This article describes our proposal for the Author Identification task in the PAN CLEF Challenge 2014. We have adopted a machine learning ap- proach based on several representations of the texts and on optimized decision trees which have as entry various attributes and which are learned for every train- ing corpus separately for this classification task. Our method ranked us at the 2nd place with an overall AUC of 70.7%, and C@1 of 68.4% and, between the 1st and the 6th place on the six corpora." @default.
- W2626647847 created "2017-06-23" @default.
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- W2626647847 date "2014-09-15" @default.
- W2626647847 modified "2023-09-26" @default.
- W2626647847 title "UJM at CLEF in Author Verification based on optimized classification trees" @default.
- W2626647847 hasPublicationYear "2014" @default.
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