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Trudy SPIIRAN, 2013, Issue 25, Pages 204–220
(Mi trspy595)
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Program complex for probabilistic logic inference in knowledge pattern bases: knowledge pattern implementation
A. V. Sirotkin St. Petersburg Institute for Informatics and Automation of RAS
Abstract:
The paper describe key points in algebraic bayesian network knowledge pattern implementation on C++ programming language. Knowledge pattern implemented as class that handle and store estimation for knowledge pattern elements. It also provide a couple of methods for processing knowledge pattern such as consistency update and a posteriori inference.
Keywords:
algorithm, algebraic Bayesian network, posteriori inference, events propagation, knowledge pattern.
Received: 27.02.2013
Citation:
A. V. Sirotkin, “Program complex for probabilistic logic inference in knowledge pattern bases: knowledge pattern implementation”, Tr. SPIIRAN, 25 (2013), 204–220
Linking options:
https://www.mathnet.ru/eng/trspy595 https://www.mathnet.ru/eng/trspy/v25/p204
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Abstract page: | 191 | Full-text PDF : | 77 | References: | 41 | First page: | 1 |
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