Machine Learning under Resource Constraints. Discovery in Physics /

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Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data a...

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Bibliographic Details
Call Number:Libro Electrónico
Other Authors: Morik, Katharina (Editor), Rhode, Wolfgang (Editor)
Format: Electronic eBook
Language:Inglés
Published: Berlin ; Boston : De Gruyter, [2022]
Series:De Gruyter STEM ; Volume 2
Subjects:
Artificial intelligence.
Big Data.
Eingebettete Systeme.
Künstliche Intelligenz.
Maschinelles Lernen.
Intelligence artificielle.
artificial intelligence.
SCIENCE / Chemistry / General.
Artificial intelligence
Artificial Intelligence.
Big Data and Machine Learning.
Cyber-physical systems.
Data mining for Ubiquitous System Software.
Embedded Systems and Machine Learning.
Highly Distributed Data.
ML on Small devices.
Machine learning for knowledge discovery.
Machine learning in high-energy physics.
Resource-Aware Machine Learning.
Resource-Constrained Data Analysis.
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