Machine Learning under Resource Constraints - Fundamentals

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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Hlavný autor: Katharina Morik, Peter Marwedel, Katharina Morik, Peter Marwedel, Jens Buß, Andreas Becker
Médium: E-kniha
Jazyk:English
Vydavateľské údaje: Berlin/Boston De Gruyter 2022
Walter de Gruyter GmbH
Vydanie:1
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ISBN:9783110786125, 3110786125
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Obsah:
  • Intro -- Contents -- Preface -- 1 Introduction -- Data Gathering and Resource Measuring -- 3 Streaming Data, Small Devices -- 4 Structured Data -- 5 Cluster Analysis -- 6 Hardware-Aware Execution -- 7 Memory Awareness -- 8 Communication Awareness -- 9 Energy Awareness -- Bibliography -- Index -- List of Contributors