Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey-Reference-Cited by-同舟云学术

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

Published:2019-01-19 Issue:1 Volume:52 Page:77-124
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Nguyen Giang^ORCID,Dlugolinsky Stefan^ORCID,Bobák Martin^ORCID,Tran Viet^ORCID,López García Álvaro^ORCID,Heredia Ignacio^ORCID,Malík Peter,Hluchý Ladislav

Funder

Horizon 2020 Framework Programme

Agentúra Ministerstva Školstva, Vedy, Výskumu a Športu SR

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/article/10.1007/s10462-018-09679-z/fulltext.html

Reference210 articles.

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3. Alcala-Fdez J, Fernandez A, Luengo J, Derrac J, Garcia S, Sanchez L, Herrera F (2011) Keel data-mining software tool: data set repository, integration of algorithms and experimental analysis framework. J Mult Valued Logic Soft Comput 17:255–287

4. Alemany S, Beltran J, Perez A, Ganzfried S (2018) Predicting hurricane trajectories using a recurrent neural network. arXiv preprint arXiv:1802.02548

5. AMD (2018) Accelerators for high performance compute. https://www.amd.com/en/products/servers-hpc-accelarators . Accessed 21 Sept 2018

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