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Computer Science - Database Management & Information Retrieval | Computational Methods for Counterterrorism (Authors and Editors)

Computational Methods for Counterterrorism

Argamon, Shlomo, Howard, Newton (Eds.)

2009, XVIII, 306 p.

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Shlomo Argamon is Associate Professor of Computer Science at the Illinois Institute of Technology, Chicago, IL, USA, since 2002. Prior to that, he had held academic positions at Bar-Ilan University, where he held a Fulbright Postdoctoral Fellowship (1994-96), and at the Jerusalem College of Technology. Dr. Argamon received his B.S. (1988) in Applied Mathematics from Carnegie-Mellon University, and his M.Phil. (1991) and Ph.D. (1994) in Computer Science from Yale University, where he was a Hertz Foundation Fellow. His current research interests lie mainly in the use of machine learning methods to aid in functional analysis of natural language, with particular focus on questions of style. During his career, Dr. Argamon has worked on a variety of problems in experimental machine learning, including robotic map-learning, theory revision, and natural language processing, and has published numerous research papers in these areas.

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  • Computational Methods for Counterterrorism
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    Computational Methods for Counterterrorism

    Argamon, Shlomo, Howard, Newton (Eds.) 2009

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