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stat.ML2019★ 12 cited
Optimized Realization of Bayesian Networks in Reduced Normal Form using Latent Variable Model
Giovanni Di Gennaro, Amedeo Buonanno, Francesco A. N. Palmieri
Bayesian networks in their Factor Graph Reduced Normal Form (FGrn) are a powerful paradigm for implementing inference graphs. Unfortunately, the computational and memory costs of t…
stat.ML2013★ 5 cited
A Comparison of Algorithms for Learning Hidden Variables in Normal Graphs
Francesco A. N. Palmieri
A Bayesian factor graph reduced to normal form consists in the interconnection of diverter units (or equal constraint units) and Single-Input/Single-Output (SISO) blocks. In this f…