Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
This paper reports on research-in-progress designed to understand adoption and diffusion of e-learning (EL) among small and medium-sized enterprises (SMEs) in northern Italy. The ...
Limitations in scope but also difficulties with the efficiency and scalability of present algorithms seem to have so far limited the industrial uptake of existing automated FMEA t...
Yiannis Papadopoulos, David Parker 0002, Christian...
This paper discusses the use of “relative debugging” as a technique for locating errors in a program that has been ported or developed using evolutionary software engineering ...
David Abramson, Raphael A. Finkel, Donny Kurniawan...
Synthesis of textures is a very popular and active area of research; the applications and the areas of interest are various and significant. In the last years, much work has been ...