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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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Detaylı Bibliyografya
Diğer Yazarlar: Morik, Katharina (Editör), Wietfeld, Christian (Editör), Rahnenführer, Jörg (Editör)
Materyal Türü: Elektronik Kitap Bölümü
Dil:İngilizce
Baskı/Yayın Bilgisi: Berlin/Boston De Gruyter 2022
Seri Bilgileri:De Gruyter STEM Volume 3
Konular:
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
Online Erişim:OAPEN Library: download the publication
OAPEN Library: description of the publication
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OAPEN Library: download the publication
OAPEN Library: description of the publication

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