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Scaling up Bayesian variational inference using distributed computing clusters

Published:2017-09 Issue: Volume:88 Page:435-451
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Masegosa Andrés R.^ORCID,Martinez Ana M.,Langseth Helge^ORCID,Nielsen Thomas D.,Salmerón Antonio^ORCID,Ramos-López Darío,Madsen Anders L.

Funder

Seventh Framework Programme

Ministry of Economy and Competitiveness

ERDF

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference39 articles.

1. The stratosphere platform for big data analytics;Alexandrov;VLDB J.,2014

2. Variational Algorithms for Approximate Bayesian Inference;Beal,2003

3. Bayesian Theory;Bernardo,2006

4. Latent Dirichlet allocation;Blei;J. Mach. Learn. Res.,2003

5. Dynamic Bayesian modeling for risk prediction in credit operations;Borchani,2015

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4. AMIDST: A Java toolbox for scalable probabilistic machine learning;Knowledge-Based Systems;2019-01

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