Machine Learning at the Belle II Experiment: The Full Event Interpretation and Its Validation on Belle Data
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing
2018
Cham Springer |
| Schriftenreihe: | Springer Theses, Recognizing Outstanding Ph.D. Research
|
| Schlagworte: | |
| Online-Zugang: | TUM01 UBM01 UBT01 UER01 Volltext |
| Beschreibung: | 1 Online-Ressource (XI, 174 p. 84 illus., 16 illus. in color) |
| ISBN: | 9783319982496 |
| ISSN: | 2190-5053 |
| DOI: | 10.1007/978-3-319-98249-6 |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Keck, Thomas |
| author_facet | Keck, Thomas |
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| author_sort | Keck, Thomas |
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| dewey-full | 539.72 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 539 - Modern physics |
| dewey-raw | 539.72 |
| dewey-search | 539.72 |
| dewey-sort | 3539.72 |
| dewey-tens | 530 - Physics |
| discipline | Physik |
| doi_str_mv | 10.1007/978-3-319-98249-6 |
| format | Electronic eBook |
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| id | DE-604.BV045913232 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:30:10Z |
| institution | BVB |
| isbn | 9783319982496 |
| issn | 2190-5053 |
| language | English |
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| physical | 1 Online-Ressource (XI, 174 p. 84 illus., 16 illus. in color) |
| psigel | ZDB-2-PHA ZDB-2-PHA_2018_Fremddaten |
| publishDate | 2018 |
| publishDateSearch | 2018 |
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| publisher | Springer International Publishing Springer |
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| series2 | Springer Theses, Recognizing Outstanding Ph.D. Research |
| spelling | Keck, Thomas Verfasser aut Machine Learning at the Belle II Experiment The Full Event Interpretation and Its Validation on Belle Data by Thomas Keck Cham Springer International Publishing 2018 Cham Springer 1 Online-Ressource (XI, 174 p. 84 illus., 16 illus. in color) txt rdacontent c rdamedia cr rdacarrier Springer Theses, Recognizing Outstanding Ph.D. Research 2190-5053 Elementary Particles, Quantum Field Theory Artificial Intelligence Data-driven Science, Modeling and Theory Building Measurement Science and Instrumentation Quantum theory Artificial intelligence Erscheint auch als Druck-Ausgabe 978-3-319-98248-9 Erscheint auch als Druck-Ausgabe 978-3-319-98250-2 https://doi.org/10.1007/978-3-319-98249-6 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Keck, Thomas Machine Learning at the Belle II Experiment The Full Event Interpretation and Its Validation on Belle Data Elementary Particles, Quantum Field Theory Artificial Intelligence Data-driven Science, Modeling and Theory Building Measurement Science and Instrumentation Quantum theory Artificial intelligence |
| title | Machine Learning at the Belle II Experiment The Full Event Interpretation and Its Validation on Belle Data |
| title_auth | Machine Learning at the Belle II Experiment The Full Event Interpretation and Its Validation on Belle Data |
| title_exact_search | Machine Learning at the Belle II Experiment The Full Event Interpretation and Its Validation on Belle Data |
| title_full | Machine Learning at the Belle II Experiment The Full Event Interpretation and Its Validation on Belle Data by Thomas Keck |
| title_fullStr | Machine Learning at the Belle II Experiment The Full Event Interpretation and Its Validation on Belle Data by Thomas Keck |
| title_full_unstemmed | Machine Learning at the Belle II Experiment The Full Event Interpretation and Its Validation on Belle Data by Thomas Keck |
| title_short | Machine Learning at the Belle II Experiment |
| title_sort | machine learning at the belle ii experiment the full event interpretation and its validation on belle data |
| title_sub | The Full Event Interpretation and Its Validation on Belle Data |
| topic | Elementary Particles, Quantum Field Theory Artificial Intelligence Data-driven Science, Modeling and Theory Building Measurement Science and Instrumentation Quantum theory Artificial intelligence |
| topic_facet | Elementary Particles, Quantum Field Theory Artificial Intelligence Data-driven Science, Modeling and Theory Building Measurement Science and Instrumentation Quantum theory Artificial intelligence |
| url | https://doi.org/10.1007/978-3-319-98249-6 |
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