Machine Learning and Data Mining Approaches to Climate Science
Springer International Publishing
Chapter title |
Kernel and Information-Theoretic Methods for the Extraction and Predictability of Organized Tropical Convection
|
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Chapter number | 14 |
Book title |
Machine Learning and Data Mining Approaches to Climate Science
|
Published by |
Springer, Cham, January 2015
|
DOI | 10.1007/978-3-319-17220-0_14 |
Book ISBNs |
978-3-31-917219-4, 978-3-31-917220-0
|
Authors |
Eniko Székely, Dimitrios Giannakis, Andrew J. Majda |
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 67% |
Student > Master | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Earth and Planetary Sciences | 1 | 33% |
Physics and Astronomy | 1 | 33% |
Engineering | 1 | 33% |