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Statistical machine translation (SMT) plays more and more important role now. The performance of the SMT is largely dependent on the size and quality of training data. But the demands for translation is rich, how to make the best of limited in-domain data to satisfy the needs of translation coming from different domains is one of the hot focus in current SMT. Domain adaption aims to obviously improve...
Insider threats are veritable needles within the haystack. Their occurrence is rare and when they do occur, are usually masked well within normal operation. The detection of these threats requires identifying these rare anomalous needles in a contextualized setting where behaviors are constantly evolving over time. To this refined search, this paper proposes and tests an unsupervised, ensemble based...
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