Ata uhi

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...

Whakaahuatanga katoa

I tiakina i:
Hōputu: Online
Reo:Ingarihi
I whakaputaina: De Gruyter 2023
Ngā marau:
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
Urunga tuihono:ONIX_20230130_9783110785944_75
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