Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...
Abstract. This paper calls on activity theory as tool for analyzing Asynchronous Learning Networks (ALN) to achieve a better understanding of their dynamics. This paper makes some ...
An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. Th...
Ajith Abraham, Ravi Jain, Sugata Sanyal, Sang-Yong...
Programming network processors remains an art due to the variety of different network processor architectures and due to little support to reason and explore implementations on su...
Matthias Gries, Chidamber Kulkarni, Christian Saue...