We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
In this paper we consider three models for random graphs that utilize the inner product as their fundamental object. We analyze the behavior of these models with respect to cluster...
— Cognitive networks are the latest progression of cognitive functionality into the networking stack, an effort which began with a layer one and two focus on cognitive radios, an...
Muthukumaran Pitchaimani, Benjamin J. Ewy, Joseph ...
Incidents such as Solar Sunrise and Nimda demonstrate the need to expressively model distributed and complex network attacks. To protect information systems, system administrators...
Abstract— Inter-component communication has received considerable attention by robotic software architects as various frameworks and toolkits have matured. While the resulting pl...
Anthony Cowley, Hwa-Chow Oliver Hsu, Camillo J. Ta...