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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
13 years 11 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
INFOCOM
2003
IEEE
13 years 10 months ago
Internet Quarantine: Requirements for Containing Self-Propagating Code
— It has been clear since 1988 that self-propagating code can quickly spread across a network by exploiting homogeneous security vulnerabilities. However, the last few years have...
David Moore, Colleen Shannon, Geoffrey M. Voelker,...
NIPS
2004
13 years 6 months ago
Message Errors in Belief Propagation
Belief propagation (BP) is an increasingly popular method of performing approximate inference on arbitrary graphical models. At times, even further approximations are required, wh...
Alexander T. Ihler, John W. Fisher III, Alan S. Wi...
JAIR
2008
113views more  JAIR 2008»
13 years 4 months ago
Graphical Model Inference in Optimal Control of Stochastic Multi-Agent Systems
In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...
Bart van den Broek, Wim Wiegerinck, Bert Kappen
GLOBECOM
2006
IEEE
13 years 11 months ago
Defending against Instant Messaging Worms
— Due to the real time nature and buddy list presence information of Instant Messaging (IM) systems worms can spread over IM networks rapidly, causing severe damages, however, it...
Zhijun Liu, Guoqiang Shu, Na Li, David Lee