When implementingparallel programs forparallel computer systems the performancescalability of these programs should be tested and analyzed on different computer configurations and...
Allen D. Malony, Vassilis Mertsiotakis, Andreas Qu...
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
The problem of optimal synthesis of an integrated water system is addressed in this work, where water using processes and water treatment operations are combined into a single net...
One challenge faced by many Inductive Logic Programming (ILP) systems is poor scalability to problems with large search spaces and many examples. Randomized search methods such as ...
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...