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IoT streams for data-driven predictive maintenance and IoT, edge, and mobile for embedded machine learning: Second International Workshop, IoT Streams 2020 and First International Workshop, ITEM 2020, co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020 : revised selected papers

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Stream Learning -- Feature Learning -- Unsupervised Machine Learning -- Hardware -- Methods -- Quantization.

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Bibliographic Details
Corporate Authors: IoT Streams, Online (Author) , ITEM (Author)
Other Authors: Gama, João (Editor) , Pashami, Sepideh (Editor) , Bifet, Albert (Editor) , Sayed-Mouchaweh, Moamar (Editor) , Fröning, Holger (Editor) , Pernkopf, Franz (Editor) , Schiele, Gregor (Editor) , Blott, Michaela (Editor)
Format: Conference Paper
Language:English
Published: Cham Springer International Publishing 2020.
Cham Imprint: Springer 2020.
Edition:1st ed. 2020.
Series:Communications in Computer and Information Science 1325
Springer eBook Collection
DOI:10.1007/978-3-030-66770-2
Subjects:
Konferenzschrift
Maschinelles Lernen
Internet der Dinge
Online Access:Resolving-System, lizenzpflichtig: https://doi.org/10.1007/978-3-030-66770-2
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Author Notes:Joao Gama, Sepideh Pashami, Albert Bifet, Moamar Sayed-Mouchawe, Holger Fröning, Franz Pernkopf, Gregor Schiele, Michaela Blott (eds.)

MARC

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