Many search problems contain large amounts of redundancy in the search. In this paper we examine how to automatically exploit remaining subproblem equivalence, which arises when tw...
Geoffrey Chu, Maria Garcia de la Banda, Peter J. S...
We consider a class of wireless networks with general interference constraints on the set of links that can be served simultaneously at any given time. We restrict the traffic to b...
The predominant knowledge-based approach to automated model construction, compositional modelling, employs a set of models of particular functional components. Its inference mecha...
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
This work presents a classification of weak models of distributed computing. We focus on deterministic distributed algorithms, and we study models of computing that are weaker ve...