Inference in credal networks with branch-and-bound algorithms

José Carlos Ferreira da Rocha, Fábio Gagliardi Cozman · 2003

A credal network associates sets of probability distributions with directed acyclic graphs. Under strong independence assumptions, inference with credal networks is equivalent to a signomial program under linear constraints, a problem that is NP-hard even for categorical variables and polytree models. We describe

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