SYNTHETIC DATA GENERATION WITH PROBABILISTIC BAYESIAN NETWORKS

Synthetic data generation with probabilistic Bayesian Networks

Bayesian Network (BN) modeling is a prominent and increasingly popular computational systems biology method.It aims to construct network graphs from the large heterogeneous biological datasets that reflect the underlying biological relationships.Currently, a variety of strategies exist for evaluating BN methodology performance, ranging from utilizi

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DOCTRINE OF A PERSONALITY IN THE THOUGHT OF THE ORTHODOX THEOLOGIANS OF THE 20TH CENTURY AS A METHODOLOGICAL BASIS OF THE ORTHODOX ANTROPOLOGY AND HUMANITARIAN RESEARCHES

n this second part of his issue author approaches the Online Class personalistic anthropologicalmodel as a methodological basis for theological analysis of the main antropological problems.These are individualism, the problem of death, the problem of detecting specificity of beinghuman, and the doctrine of love.The way Orthodox personalists treat F

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Comparison of pipette method and state of the art analytical techniques to determine granulometric properties of sediments and soils

The determination of particle size distribution is a crucial issue in various fields of earth sciences (e.g., Quaternary research, sedimentology, stratigraphy, structural geology, volcanology), environmental sciences B12 DROPS 1000MCG as well as diverse industrial applications (e.g., pharmaceuticals, cement industry).New measurement techniques deve

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