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...
— 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,...
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...
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 ...
— 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...