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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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Detalhes bibliográficos
Outros Autores: Morik, Katharina (Editor), Rhode, Wolfgang (Editor)
Formato: Recurso Eletrônico Capítulo de Livro
Idioma:inglês
Publicado em: Berlin/Boston De Gruyter 2022
coleção:De Gruyter STEM Volume 2
Assuntos:
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
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