منابع مشابه
Learning unbelievable marginal probabilities
Loopy belief propagation performs approximate inference on graphical models with loops. One might hope to compensate for the approximation by adjusting model parameters. Learning algorithms for this purpose have been explored previously, and the claim has been made that every set of locally consistent marginals can arise from belief propagation run on a graphical model. On the contrary, here we...
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ژورنال
عنوان ژورنال: Mathematica Bohemica
سال: 1994
ISSN: 0862-7959,2464-7136
DOI: 10.21136/mb.1994.126082