Распределенные байесовские процедуры машинного обучения / Белецкий Б. А. (2019)
Ukrainian

English  Cybernetics and Systems Analysis   /     Issue (2019, 55 (3))

Biletskyy B.
Distributed Bayesian machine learning procedures

In this paper, we consider Bernoulli and multinomial variations of Bayesian machine learning procedures, as well as their distributed implementations based on MapReduce. We propose the categorical Bayesian machine learning procedure and discuss its distributed implementation and use-cases. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: Bayesian machine learning procedures, distributed methods of machine learning, MapReduce, Computer science, Cybernetics, Learning systems, Bayesian, Bernoulli, Distributed implementation, Distributed methods, Map-reduce, Multinomials, Machine learning


Cite:
Biletskyy B. (2019). Distributed Bayesian machine learning procedures. Cybernetics and Systems Analysis, 55 (3), 129-135. doi: https://doi.org/10.1007/s10559-019-00153-4 http://jnas.nbuv.gov.ua/article/UJRN-0000986324 [In Russian].


 

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