Deep learning: Computational aspects-Reference-Cited by-同舟云学术

Deep learning: Computational aspects

Published:2020-06-09 Issue:5 Volume:12 Page:
ISSN:1939-5108
Container-title:WIREs Computational Statistics
language:en
Short-container-title:WIREs Comp Stat

Author:

Polson Nicholas¹,Sokolov Vadim²^ORCID

Affiliation:

1. Booth School of Business University of Chicago Chicago Illinois

2. Systems Engineering and Operations Research George Mason University Fairfax Virginia

Publisher

Wiley

Subject

Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wics.1500

Reference65 articles.

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2. Boltyanskii V. G. Gamkrelidze R. V. &Pontryagin. (1960). Theory of optimal processes i: Maximum principle.News of Akad. Nauk SSSR. Mathematics Series 24 3‐42.

3. Optimization Methods for Large-Scale Machine Learning

4. Bryson A. E.(1961). A gradient method for optimizing multi‐stage allocation processes. InProceedings of Harvard University symposium on digital computers and their applications(Vol. 72).

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