9783110785968.pdf
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...
| Γλώσσα: | English |
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De Gruyter
2023
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| Διαθέσιμο Online: | https://www.degruyter.com/isbn/9783110785968 |
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oapen-20.500.12657-61139 |
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oapen-20.500.12657-611392024-03-27T14:14:24Z Discovery in Physics Morik, Katharina Rhode, Wolfgang 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 thema EDItEUR::P Mathematics and Science::PN Chemistry thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence 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 learning models. The interpretation of the learned models serves to expand the physical knowledge resulting in a cycle of theory enhancement. 2023-01-30T17:09:07Z 2023-01-30T17:09:07Z 2022 book ONIX_20230130_9783110785968_97 9783110785968 9783110785951 9783110786132 https://library.oapen.org/handle/20.500.12657/61139 eng De Gruyter STEM application/pdf Attribution 4.0 International 9783110785968.pdf https://www.degruyter.com/isbn/9783110785968 De Gruyter De Gruyter 10.1515/9783110785968 10.1515/9783110785968 2b386f62-fc18-4108-bcf1-ade3ed4cf2f3 9783110785968 9783110785951 9783110786132 De Gruyter Volume 2 349 Berlin/Boston open access |
| institution |
OAPEN |
| collection |
DSpace |
| language |
English |
| description |
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 learning models. The interpretation of the learned models serves to expand the physical knowledge resulting in a cycle of theory enhancement. |
| title |
9783110785968.pdf |
| spellingShingle |
9783110785968.pdf |
| title_short |
9783110785968.pdf |
| title_full |
9783110785968.pdf |
| title_fullStr |
9783110785968.pdf |
| title_full_unstemmed |
9783110785968.pdf |
| title_sort |
9783110785968.pdf |
| publisher |
De Gruyter |
| publishDate |
2023 |
| url |
https://www.degruyter.com/isbn/9783110785968 |
| _version_ |
1799945202296684544 |
