We study the problem of probabilistic deduction with conditional constraints over basic events. We show that globallycomplete probabilistic deduction with conditional constraints ...
—Due to the scaling down of device geometry and increasing of frequency in deep submicron designs, crosstalk between interconnection wires has become an important issue in very l...
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...
Abstract. This article deals with global constraints for which the set of solutions can be recognized by an extended finite automaton whose size is bounded by a polynomial in n, w...
We propose new filtering algorithms for the SEQUENCE constraint and some extensions of the SEQUENCE constraint based on network flows. We enforce domain consistency on the SEQUENCE...
Michael J. Maher, Nina Narodytska, Claude-Guy Quim...