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Document classification algorithm based on kernel logistic regression

Published • Jul 1, 2010
NobleIDNI0P00W45R72S68
Authors:
Ziqiang Wang
,
Xia Sun

Abstract

Document feature extraction and classifier selection are two key problems for document classification approach. To effectively resolve the above two problems, a novel document classification algorithm is proposed by combining the merits of local fisher discriminant analysis and kernel logistic regre...

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