Hardware-aware probabilistic machine learning models learning, inference and use cases

Hardware-aware probabilistic machine learning models learning, inference and use cases

This book proposes probabilistic machine learning models that represent the hardware properties of the device hosting them. These models can be used to evaluate the impact that a specific device configuration may have on resource consumption and performance of the machine learning task, with the ove...

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Detalles Bibliográficos
Main Authors: Galindez Olascoaga, Laura Isabel (Author), Meetr, Wannes (Author), Verhelst, Marian (Author)
Formato: Electronic Resource
Idioma:English
Publicado: Switzerland Springer [2021]
Subjects:
Machine learning.
Electronic books.
Acceso en liña:https://link-springer-com.ezproxy.engglib.upd.edu.ph/book/10.1007/978-3-030-74042-9
https://doi.org/10.1007/978-3-030-74042-9