Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...
Abstract. Writing e cient iterative solvers for irregular, sparse matrices in HPF is hard. The locality in the computations is unclear, and for e ciency we use storage schemes that...
It is known that every constraint-satisfaction problem (CSP) reduces, and is in fact polynomially equivalent, to a digraph coloring problem. By carefully analyzing the constructio...
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
Hybrid Scheduling Problems (HSPs) contain both temporal and finite-domain variables, as well as constraints between them. A hybrid constraint over temporal and finite-domain varia...