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Discovery in Physics

dc.contributor.editorMorik, Katharina
dc.contributor.editorRhode, Wolfgang
dc.date.accessioned2023-01-31T04:01:39Z
dc.date.available2023-01-31T04:01:39Z
dc.date.issued2022
dc.date.submitted2023-01-30T17:09:07Z
dc.identifierONIX_20230130_9783110785968_97
dc.identifierOCN: 1356978797
dc.identifierhttps://library.oapen.org/handle/20.500.12657/61139
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/96449
dc.description.abstractVolume 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.
dc.languageEnglish
dc.relation.ispartofseriesDe Gruyter STEM
dc.rightsopen access
dc.subject.classificationthema EDItEUR::P Mathematics and Science::PN Chemistryen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structuresen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databasesen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UT Computer networking and communicationsen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligenceen_US
dc.subject.otherResource-Constrained Data Analysis
dc.subject.otherResource-Aware Machine Learning
dc.subject.otherEmbedded Systems and Machine Learning
dc.subject.otherBig Data and Machine Learning
dc.subject.otherArtificial Intelligence
dc.subject.otherHighly Distributed Data
dc.subject.otherML on Small devices Data mining for Ubiquitous System
dc.subject.otherSoftware Cyber-physical systems
dc.subject.otherMachine learning in high-energy physics
dc.subject.otherMachine learning for knowledge discovery
dc.subject.otherthema EDItEUR::P Mathematics and Science::PN Chemistry
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UN Databases
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UT Computer networking and communications
dc.subject.otherthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
dc.titleDiscovery in Physics
dc.typebook
oapen.identifier.doi10.1515/9783110785968
oapen.relation.isPublishedByaf2fbfcc-ee87-43d8-a035-afb9d7eef6a5
oapen.relation.isbn9783110785968
oapen.relation.isbn9783110785951
oapen.relation.isbn9783110786132
oapen.imprintDe Gruyter
oapen.pages349
oapen.place.publicationBerlin/Boston
dc.seriesnumberVolume 2


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