1 code implementation • 24 Nov 2021 • Valentin Durante, George Katsirelos, Thomas Schiex
By concisely representing a joint function of many variables as the combination of small functions, discrete graphical models (GMs) provide a powerful framework to analyze stochastic and deterministic systems of interacting variables.
no code implementations • 23 Jun 2021 • Fulya Trösser, Simon de Givry, George Katsirelos
Bayesian networks are probabilistic graphical models with a wide range of application areas including gene regulatory networks inference, risk analysis and image processing.
no code implementations • 14 Mar 2020 • Christian Bessiere, Clement Carbonnel, Anton Dries, Emmanuel Hebrard, George Katsirelos, Nadjib Lazaar, Nina Narodytska, Claude-Guy Quimper, Kostas Stergiou, Dimosthenis C. Tsouros, Toby Walsh
Learning constraint networks is known to require a number of membership queries exponential in the number of variables.
no code implementations • 16 Jan 2014 • Lucas Bordeaux, George Katsirelos, Nina Narodytska, Moshe Y. Vardi
An important question is therefore whether strongly-polynomial algorithms exist that compute the common bound consistent fixpoint of a set of constraints.
