Purpose – This paper aims to report on the results of an analysis of the computer security problem space, to suggest the areas with highest potential for making progress in the ...
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
— Although the LUT (look-up table) size of FPGAs has been optimized for general applications, complicated designs may contain a large number of cascaded LUTs between flip-flops...
ion of a given partial assignment of values to variables. Compared with other symmetry breaking techniques, the big advantage of dynamic symmetry breaking is that it can accommodat...
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...