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...

Szczegółowa specyfikacja

Opis bibliograficzny

Format:	Online
Język:	angielski
Wydane:	De Gruyter 2023
Hasła przedmiotowe:	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 thema EDItEUR::P Mathematics and Science::PN Chemistry thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
Dostęp online:	ONIX_20230130_9783110785944_75
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!