Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
The problem of Music Information Retrieval can often be formalized as “searching for multidimensional trajectories”. It is well known that string-matching techniques provide r...
We consider optimization problems of the form (S, cost), where S is a clause set over Boolean variables x1 . . . xn, with an arbitrary cost function cost: Bn → R, and the aim is ...
Javier Larrosa, Robert Nieuwenhuis, Albert Olivera...
We deal with temporal aspects of distributed systems, introducing and studying a new model called timed distributed -calculus. This model extends distributed -calculus with timers...
In this paper, we tackle the problem of efficient skycube computation. We introduce a novel approach significantly reducing domination tests for a given subspace and the number of...