Machine learning in geography–Past, present, and future-Reference-Cited by-同舟云学术

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Machine learning in geography–Past, present, and future

Published:2021-04-20 Issue:5 Volume:15 Page:
ISSN:1749-8198
Container-title:Geography Compass
language:en
Short-container-title:Geography Compass

Author:

Lavallin Abigail¹^ORCID,Downs Joni A.¹

Affiliation:

1. Department of Geosciences University of South Florida Tampa Florida USA

Publisher

Wiley

Subject

Atmospheric Science,Computers in Earth Sciences,Earth-Surface Processes,General Social Sciences,Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gec3.12563

Reference180 articles.

1. Efficient Machine Learning for Big Data: A Review

2. An LSTM network for highway trajectory prediction

3. Types of machine learning algorithms;Ayodele T. O.;New Advances in Machine Learning,2010

4. Boosting: a classification method for remote sensing

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