Edition |
First edition. |
Description |
1 online resource (x, 306 pages) : illustrations (some colour) |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
Series |
Advances in geophysics, 0065-2687 ; volume 61 |
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Advances in geophysics ; v. 61.
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Bibliography |
Includes bibliographical references. |
Summary |
"Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the field of geophysics, contains new chapters on a variety of topics, including a historical review on the development of machine learning, machine learning to investigate fault rupture on various scales, a review on machine learning techniques to describe fractured media, signal augmentation to improve the generalization of deep neural networks, deep generator priors for Bayesian seismic inversion, as well as a review on homogenization for seismology, and more."--Publisher's web page, viewed October 12, 2020 |
Note |
Online resource; title from publisher's web page (ScienceDirect, viewed October 12, 2020) |
Subject |
Machine learning.
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Geophysics.
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Apprentissage automatique.
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Géophysique.
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geophysics.
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Geophysics
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Machine learning
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Added Author |
Moseley, Ben, editor.
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Krischer, Lion, editor.
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Other Form: |
Print version: Machine learning in geosciences. First edition. Elsevier Academic Press, 2020 9780128216699 |
ISBN |
9780128216842 (eBook) |
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0128216840 |
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9780128216699 (hardcover) |
Standard No. |
AU@ 000068127006 |
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