We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
This paper addresses an innovative approach to informed enhancement of damaged sound. It uses sparse approximations with a learned dictionary of atoms modeling the main components...
Manuel Moussallam, Pierre Leveau, Si-Mohamed Aziz ...
Based on radial basis functions approximation, we develop in this paper a new computational algorithm for numerical diļ¬erentiation. Under an a priori and an a posteriori choice r...
The problem of computing approximate GCDs of several polynomials with real or complex coefficients can be formulated as computing the minimal perturbation such that the perturbed ...
This paper proposes a way to enable approximate queries in a peer-to-peer network by using a special encoding function and error correcting codes. The encoding function maintains ...
Alain Mowat, Roman Schmidt, Michael Schumacher, Io...