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Automated Machine Learning Methods, Systems, Challenges /

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial...

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Corporate Author: SpringerLink (Online service)
Other Authors: Hutter, Frank. (Editor, http://id.loc.gov/vocabulary/relators/edt), Kotthoff, Lars. (Editor, http://id.loc.gov/vocabulary/relators/edt), Vanschoren, Joaquin. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edition:1st ed. 2019.
Series:The Springer Series on Challenges in Machine Learning,
Subjects:
Artificial intelligence.
Optical data processing.
Pattern recognition.
Artificial Intelligence.
Image Processing and Computer Vision.
Pattern Recognition.
Online Access:https://doi.org/10.1007/978-3-030-05318-5

Internet

https://doi.org/10.1007/978-3-030-05318-5

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