Improving the performance of cross-domain authorship attribution
<p> Most previous research on authorship attribution (AA) assumes that the training and test data are drawn from the same distribution. But in real scenarios, this assumption is too strong. Because of domain mismatches, the AA approaches that perform well on same domain scenarios will degrade...
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| Language: | EN |
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The University of Alabama at Birmingham
2015
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| Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=3739881 |