Fundamentals

Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Machine learning methods are inspected with respect...

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Detalles Bibliográficos
Otros Autores:	Morik, Katharina (Editor), Marwedel, Peter (Editor)
Formato:	Electrónico Capítulo de libro
Lenguaje:	inglés
Publicado:	Berlin/Boston De Gruyter 2022
Colección:	De Gruyter STEM Volume 1
Materias:	Chemistry Algorithms & data structures Databases Computer networking & communications Artificial intelligence Resource-Constrained Data Analysis Resource-Aware Machine Learning Embedded Systems and Machine Learning Big Data and Machine Learning Artificial Intelligence Highly Distributed Data ML on Small devices Data mining for Ubiquitous System Software Cyber-physical systems Machine learning in high-energy physics Machine learning for knowledge discovery
Acceso en línea:	OAPEN Library: download the publication OAPEN Library: description of the publication
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Fundamentals

Publicado 2022

DOAB: download the publication
DOAB: description of the publication

Electrónico Capítulo de libro

Fundamentals

Fundamentals

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