A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog ...
— Interested in Evolutionary Robotics, this paper focuses on the acquisition and exploitation of memory skills. The targeted task is a well-studied benchmark problem, the Tolman ...
: In this paper, functioning and interaction of distributed devices and concurrent algorithms are analyzed in the context of the theory of algorithms. Although different systems in...
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
Abstract. This is just a glimpse to the fruitful and constant preoccupation of computer science to try to get inspired by biology, at various levels. Besides briefly discussing th...