Statistical analysis techniques in particle physics : fits, density estimation and supervised learning /
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students.
| Κύριοι συγγραφείς: | , |
|---|---|
| Μορφή: | Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Weinheim :
Wiley-VCH,
2013.
|
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
| Περίληψη: | Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students. |
|---|---|
| Περιγραφή τεκμηρίου: | Includes index. |
| Φυσική περιγραφή: | 1 online resource (xvii, 441 pages) : illustrations |
| Βιβλιογραφία: | Includes bibliographical references and index. |
| ISBN: | 9783527677320 3527677321 9783527677313 9783527677290 3527677291 9783527677306 3527677305 3527677313 3527410864 9783527410866 9781306028868 1306028868 |
| DOI: | 10.1002/9783527677320 |
