Background: A significant problem in the study of mechanisms of an organism's development is the elucidation of interrelated factors which are making an impact on the differe...
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
Virtual prototyping with 3D drawing programs provides a means of rapidly developing system concepts and analyzing them for form, fit, logistics, human factors integration, and gen...
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...