Practical machine learning based on cloud computing resources-Reference-Cited by-同舟云学术

Practical machine learning based on cloud computing resources

Published:2019 Issue: Volume: Page:
ISSN:0094-243X
Container-title:AIP Conference Proceedings
language:
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Author:

Agavanakis Kyriakos N.,Karpetas George. E.,Taylor Michael,Pappa Evangelia,Michail Christos M.,Filos John,Trachana Varvara,Kontopoulou Lamprini

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5117023

Reference49 articles.

1. J. McCarthy, “What is AI? / Basic Questions.” [Online]. Available: http://jmc.stanford.edu/artificial-intelligence/what-is-ai/index.html. [Accessed: 08-May-2019].

2. S. Bhalla, S. Singh, and S. Bhalla, “Artificial intelligence and expert systems,” no. 04, p. 9, 2015.

3. “Machine Learning: What it is and why it matters | SAS.” [Online]. Available: https://www.sas.com/en_us/insights/analytics/machine-learning.html. [Accessed: 07-Apr-2019].

4. A. Munoz, “Machine Learning and Optimization,” p. 14.

5. “Multi-Valued and Universal Binary Neurons - Theory, Learning and Applications | Igor Aizenberg | Springer.” [Online]. Available: https://www.springer.com/gp/book/9780792378242. [Accessed: 07-Apr-2019].

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