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» An Outcome-Based Learning Model to Identify Emerging Threats...
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HICSS
2007
IEEE
98views Biometrics» more  HICSS 2007»
13 years 11 months ago
An Outcome-Based Learning Model to Identify Emerging Threats: Experimental and Simulation Results
The authors present experimental and simulation results of an outcome-based learning model as it applies to the identification of emerging threats. This model integrates judgment,...
Ignacio J. Martinez-Moyano, Stephen H. Conrad, Dav...
ATAL
2003
Springer
13 years 10 months ago
Information-driven phase changes in multi-agent coordination
Large systems of agents deployed in a real-world environment face threats to their problem solving performance that are independent of the complexity of the problem or the charact...
Sven Brueckner, H. Van Dyke Parunak
CSE
2009
IEEE
13 years 11 months ago
Social Inference Risk Modeling in Mobile and Social Applications
— The emphasis of emerging mobile and Web 2.0 applications on collaboration and communication increases threats to user privacy. A serious, yet under-researched privacy risk resu...
Sara Motahari, Sotirios G. Ziavras, Mor Naaman, Mo...
AROBOTS
2004
127views more  AROBOTS 2004»
13 years 4 months ago
Hormone-Inspired Self-Organization and Distributed Control of Robotic Swarms
The control of robot swarming in a distributed manner is a difficult problem because global behaviors must emerge as a result of many local actions. This paper uses a bio-inspired ...
Wei-Min Shen, Peter M. Will, Aram Galstyan, Cheng-...
CEAS
2007
Springer
13 years 11 months ago
A Discriminative Classifier Learning Approach to Image Modeling and Spam Image Identification
We propose a discriminative classifier learning approach to image modeling for spam image identification. We analyze a large number of images extracted from the SpamArchive spam c...
Byungki Byun, Chin-Hui Lee, Steve Webb, Calton Pu