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...

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書誌詳細
その他の著者:	Morik, Katharina (編集者), Marwedel, Peter (編集者)
フォーマット:	電子媒体図書の章
言語:	英語
出版事項:	Berlin/Boston De Gruyter 2022
シリーズ:	De Gruyter STEM Volume 1
主題:	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
オンライン･アクセス:	OAPEN Library: download the publication OAPEN Library: description of the publication
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Fundamentals

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