Big Learning with Bayesian methods

The explosive growth in data volume and the availability of cheap computing resources have sparked increasing interest in Big learning, an emerging subfield that studies scalable machine leaming algorithms, systems and applications with Big Data. Bayesian methods represent one important class of sta...

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Bibliographic Details

Published in:	National science review Vol. 4; no. 4; pp. 627 - 651
Main Authors:	Zhu, Jun, Chen, Jianfei, Hu, Wenbo, Zhang, Bo
Format:	Journal Article
Language:	English
Published:	Oxford University Press 01.07.2017
Subjects:	scalable algorithms regularized Bayesian inference Big Bayesian Learning Bayesian non-parametrics
ISSN:	2095-5138, 2053-714X
Online Access:	Get full text
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