Probabilistic logic programs (PLPs) define a set of probability distribution functions (PDFs) over the set of all Herbrand interpretations of the underlying logical language. When...
Matthias Broecheler, Gerardo I. Simari, V. S. Subr...
In the last few years, GPUs have become new, promising targets for general purpose programming. Their inherent parallel architecture makes them particularly suited for scientific ...
We study finding similar or diverse solutions of a given computational problem, in answer set programming, and introduce offline methods and online methods to compute them using an...
Thomas Eiter, Esra Erdem, Halit Erdogan, Michael F...
Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
d abstract) Paolo Zuliani 1 Department of Computer Science Princeton University Princeton, NJ 08544, USA In this paper we offer a programming approach to quantum computation usin...