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An algorithm developed at Carnegie Mellon University makes it easier to determine if someone has faked an Amazon or Yelp review or if a politician with a suspiciously large number of Twitter followers...
Many program analyses are naturally formulated and implemented using inclusion constraints. We present new results on the scalable implementation of such analyses based on two insights: rst, that onl...
When digital signature is applied on low-power de-vices, like smart cards, wireless sensors and RFID tags, some spe-cific properties, e.g., better offline storage, more modular and flex-ible deploymen...
The greedy algorithm is extensively studied in the field of combinatorial optimiza-tion for decades. In this paper, we address the online learning problem when the input to the greedy algorithm is sto...
This engaging session will feature four faculty members from one school who have incorporated a number of pedagogical and technological approaches into their courses to encourage creativity in their s...
GREAT Expectations stands for Group work, Reflection, Evaluation of self and peers, Application of course content to real-world problems and Testing (pre- and post-testing). It encompasses all of the ...
This presentation will illuminate why peer review and self-reflection are important in promoting academic success and student engagement in both online and face-to-face courses. It will showcase the e...
This research investigates mechanisms that impact trust at online auctions. A qualitative study is discussed within this paper to identify mechanisms that impact trust at online auctions. The mechanis...
Online支持向量机作为一种新的分类方法可以在异常入侵检测中提供良好的分类效果。根据Online算法对传统支持向量机、Robust支持向量机和One-class支持向量机进行改进,将改进后的算法与原始算法进行比较,然后使用1999 DARPA数据作为评估数据。通过实验和比较发现,改进后的支持向量机可以实现在线训练,而且使用更少的支持向量,训练时间也有效缩短,在噪声数据存在的情况下检测正确率和虚警...

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