This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Abstract. The paper presents a new look-ahead scheme for backtracking search for solving constraint satisfaction problems. This look-ahead scheme computes a heuristic for value ord...
Abstract? Fixed-point DSPs are a class of embedded processors with highly irregular architectures. This irregularity makes it difficult to generate high-quality machine code from p...
In this paper, we present an algorithm for finding utilitarian optimal solutions to Simple and Disjunctive Temporal Problems with Preferences (STPPs and DTPPs) based on Benders’...
Hossein M. Sheini, Bart Peintner, Karem A. Sakalla...
In constraint programming one models a problem by stating constraints on acceptable solutions. The constraint model is then usually solved by interleaving backtracking search and ...