Machine learning of the Bayesian belief network as a tool for evaluating the process frequency on social network data

Machine learning of the Bayesian belief network as a tool for evaluating the process frequency on social network data

The paper considers the problem of evaluating frequency of the processes whose mathematical model is stochastic processes consisting of a series of sequential episodes with a known class of distributions of the length of the time interval between them. In the previously proposed approach, the input...

Full description

Bibliographic Details
Main Authors: Aleksandra V. Toropova, Maxim V. Abramov, Tatiana V. Tulupyeva
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2021-10-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
process frequency
frequency estimation
bayesian belief networks
process episodes
stochastic process
Online Access:https://ntv.ifmo.ru/file/article/20750.pdf

Similar Items

Similar Items