C&SA | Contents

Volume 55 >>> № 3 MAY — JUNE 2019

UDC 519.217.2

B. Biletskyy¹

¹ V.M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine, Kyiv, Ukraine

DISTRIBUTED BAYESIAN MACHINE LEARNING PROCEDURES

Abstract. 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.

Keywords: Bayesian machine learning procedures for recognition, distributed methods machine learning, MapReduce.

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URL: https://github.com/bbiletskyy/categorical-bayes.

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