Granular jointree probability propagation
Cory J. Butz, Pawan J. Lingras · IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04. · 2004
Jointree computation continues to be central to the theory and practice of probabilistic expert systems. Recent research has incorporated granular structures to facilitate propagation in the jointree. In this paper, we propose a method for granular jointree probability propagation. Our method extends the previous works by allowing the granular levels to communicate with each other. It is explicitly demonstrated that our granular approach increases the amount of parallelism during probability propagation.