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Trudy SPIIRAN, 2011, Issue 18, Pages 237–266
(Mi trspy462)
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This article is cited in 2 scientific papers (total in 2 papers)
Algebraic Bayesian Network Tertiary Polystructure Elements Synthesis Algorithms
A. A. Fil'chenkov St. Petersburg Institute for Informatics and Automation of RAS
Abstract:
The role of algebraic Bayesian network (ABN) polystructure has increased significantly. It had been originally introduced as an auxiliary object for the secondary structure synthesis, but then the tertiary polystructure has found its use in the analysis of secondary structure cyclicity without its direct synthesis. Now the tertiary polystructure is expected to be used for global inference in ABN. The goal of the work is the selection (and subsequent systematization and complicity estimation) the existing algorithms for tertiary polystructure elements synthesis. The existing algorithms for tertiary polystructure elements synthesis are overviewed and the algorithm complicity is estimated in the paper. Four algorithms for synthesizing the empty graph over useful cliques subsets and two algorithms for synthesizing the parent graph over a stereoclique set are presented.
Keywords:
algebraic Bayesian networks, tertiary polystructure, machine learning, probabilistic graphical models, global structure.
Received: 02.08.2011 Accepted: 29.09.2011
Citation:
A. A. Fil'chenkov, “Algebraic Bayesian Network Tertiary Polystructure Elements Synthesis Algorithms”, Tr. SPIIRAN, 18 (2011), 237–266
Linking options:
https://www.mathnet.ru/eng/trspy462 https://www.mathnet.ru/eng/trspy/v18/p237
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Abstract page: | 188 | Full-text PDF : | 78 | First page: | 1 |
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