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In this paper, we study the problem of employ ensemble learning for computer forensic. We propose a Lazy Local Learning based bagging (L3B) approach, where base learners are trained from a small instance subset surrounding each test instance. More specifically, given a test instance x, L3B first discovers x's k nearest neighbours, and then applies progressive sampling to the selected neighbours to train a set of base classifiers, by using a given very weak (VW) learner. At the last stage, x is labeled as the most frequently voted class of all base classifiers. Finally, we apply the proposed L3B to computer forensic. 相似文献
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高月 《舰载武器(含VCD光盘)》2005,(8):12-14
俄罗斯媒体近目透露,中俄“友谊-2005”联合军事演习将于8月18~25日在俄罗斯远东地区和中国山东半岛及其附近的黄海海域分三个阶段进行。两个面临共同的反分裂和反恐怖主义现实威胁的、同一地区的两个或几个近邻国家之间举办一些联合军事演习并没什么大惊小怪,美国不也经常和并不邻近的国家举行所谓的“反恐”及各种名义的联合军事演习吗。但是,这次中俄联合军事演习却受到了一些西方媒体的特别关注,尤其是各种不公正的评论和猜测不绝于耳,与甚嚣尘上的“中国威胁论”遥相呼应,上演了针对中国的口水大战。 相似文献
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