— Leveraging the power of scratchpad memories (SPMs) available in most embedded systems today is crucial to extract maximum performance from application programs. While regular a...
Taylan Yemliha, Shekhar Srikantaiah, Mahmut T. Kan...
Defect density and defect prediction are essential for efficient resource allocation in software evolution. In an empirical study we applied data mining techniques for value seri...
The problem of evolving, using mutation, an artificial ant to follow the Santa Fe trail is used to study the well known genetic programming feature of growth in solution length. Kn...
The RoboCup simulator competition is one of the most challenging international proving grounds for contemporary AI research. Exactly because of the high level of complexity and a l...
Modeling natural systems is a complicated task that involves the concurrent behavior of various processes, mechanisms and objects. Here, we describe an approach that we have been ...
David Harel, Yaki Setty, Sol Efroni, Naamah Swerdl...