This paper considers the application of previously derived matrix-vector algorithms for local posteriori inference. Normalizing factors construction examples are given for all three types of evi- dences. The linear programming problem formulation for interval evidence is described.
Язык оригиналарусский
Название основной публикацииМатериалы XVIII Международной конференции по мягким вычислениям и измерениям (SCM'2015)
Страницы34-37
СостояниеОпубликовано - 2015

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  • algebraic Bayesian networks, posteriori inference, inference algorithms, evidence propagation, knowledge pattern, probabilistic-logic inference, uncertain knowledge

ID: 4739564