GENERATIONS IN BAYESIAN NETWORKS
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Published:
2019-09-26
Issue Vol. 9 No. 3 (2019)
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KNOWLEDGE TRANSFER AS ONE OF THE FACTORS OF INCREASING UNIVERSITY COMPETITIVENESS
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GENERATIONS IN BAYESIAN NETWORKS
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MODEL OF ENGINEERING EDUCATION WITH THE USE OF THE COMPETENCE-PROJECT APPROACH, ONTOLOGICAL ENGINEERING AND SMART CONTRACTS OF KNOWLEDGE COMPONENTS
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ASSESSMENT OF THE DIAGNOSTIC VALUE OF THE METHOD OF COMPUTER OLFACTOMETRY
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DIFFERENTIAL DIAGNOSTICS OF ASEPTIC AND SEPTIC LOOSENING OF THE CUP OF THE ENDOPROSTHESIS OF THE ARTIFICIAL HIP JOINT BY THE METHODS OF POLARISATION TOMOGRAPHY
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THE ANALYSIS OF APPROACHES TO MEASUREMENT UNCERTAINTY EVALUATION FOR CALIBRATION
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TOOL CONTROL THE CONCENTRATION OF CARBON DIOXIDE IN THE FLUE GAS BOILERS BASED ON THE OPTICAL ABSORPTION METHOD
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EXERGY ANALYSIS OF DOUBLE-CIRCUIT FLAT SOLAR COLLECTOR WITH THERMOSYPHON CIRCULATION
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ANALYSIS OF SOIL ORGANIC MATTER TRANSFORMATION DYNAMICS MODELS
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METHOD OF DIAGNOSTICS OF FILLING MATERIAL STRENGTH BASED ON TIME SERIES
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APPLICATION OF CLONAL SELECTION ALGORITHM FOR PID CONTROLLER SYNTHESIS OF MIMO SYSTEMS IN OIL AND GAS INDUSTRY
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COMPARISON OF OPTIMIZATION ALGORITHMS OF CONNECTIONIST TEMPORAL CLASSIFIER FOR SPEECH RECOGNITION SYSTEM
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SYNTHESIS OF A TRACKING CONTROL SYSTEM OVER THE FLOTATION PROCESS BASED ON LQR-ALGORITHM
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THE METHOD OF DETECTING INHOMOGENEITIES AND DEFECTS IN MATERIALS USING SENSORS BASED ON THE FIBER BRAGG OPTIC STRUCTURES
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DIAGNOSTIC OF THE COMBUSTION PROCESS USING THE ANALYSIS OF CHANGES IN FLAME LUMINOSITY
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AN OPTIMIZATION OF A DIGITAL CONTROLLER FOR A STOCHASTIC CONTROL SYSTEM
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THE SYSTEM OF COUNTERACTION TO UNMANNED AERIAL VEHICLES
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AGRICULTURAL MANAGEMENT ON THE BASIS OF INFORMATION TECHNOLOGIES
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DYE PHOTOSENSITIZERS AND THEIR INFLUENCE ON DSSC EFFICIENCY: A REVIEW
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Main Article Content
Authors
Abstract
This paper focuses on the study of some aspects of the theory of oriented graphs in Bayesian networks. In some papers on the theory of Bayesian networks, the concept of “Generation of vertices” denotes a certain set of vertices with many parents belonging to previous generations. Terminology for this concept, in our opinion, has not yet fully developed. The concept of “Generation” in some cases makes it easier to solve some problems in Bayesian networks and to build simpler algorithms.
In this paper we will consider the well-known example “Asia”, described in many articles and books, as well as in the technical documentation for various toolboxes. For the construction of this example, we have used evaluation versions of AgenaRisk.
Keywords:
Bayesian networks, AgenaRisk, oriented graphs, vertices generation
Article Details
GENERATIONS IN BAYESIAN NETWORKS. (2019). Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 9(3), 10-13. https://doi.org/10.35784/iapgos.228
