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Volume 3 describes how resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples: in health and medicine for risk modelling, diagnosis, and treatment selection for diseases in electronics, steel...

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Bibliographic Details
Other Authors: Morik, Katharina (Editor), Wietfeld, Christian (Editor), Rahnenführer, Jörg (Editor)
Format: Electronic Book Chapter
Language:English
Published: Berlin/Boston De Gruyter 2022
Series:De Gruyter STEM Volume 3
Subjects:
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
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