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Discovery in Physics

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Volume 2 covers knowledge discovery in particle and astroparticle physics. Instruments gather petabytes of data and machine learning is used to process the vast amounts of data and to detect relevant examples efficiently. The physical knowledge is encoded in simulations used to train the machine lea...

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Opis bibliograficzny
Kolejni autorzy:	Morik, Katharina (Redaktor), Rhode, Wolfgang (Redaktor)
Format:	Elektroniczne Rozdział
Język:	angielski
Wydane:	Berlin/Boston De Gruyter 2022
Seria:	De Gruyter STEM Volume 2
Hasła przedmiotowe:	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
Dostęp online:	OAPEN Library: download the publication OAPEN Library: description of the publication
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

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