Název: Volatility of selected separators/classifiers wrt. data sets from field of particle physics
Autoři: Jiřina, Marcel ; Hakl, František
Typ dokumentu: Výzkumné zprávy
Rok: 2011
Jazyk: eng
Edice: Technical Report, svazek: V-1126
Abstrakt: We study the volatility, i.e. influence of random changes in data sets to overall separation/classification behavior of separators/classifiers. This is motivated by the fact, that simulated data and true data from ATLAS experiment may differ, and a question arises what if separators or cuts are optimized for simulated data, and then used for true data from the experiment. This behavior was studied using simulated data modified by artificial distortions of known size. We found that even slight change in data sets causes a little worse result than supposed but, surprisingly, even relatively large distortions give then nearly the same results. Only truly great variations cause degradation of separation quality of separator/classifier as well as of the cuts method.
Klíčová slova: classification; multivariate data; particle physics; physics event data; signal-background separation; volatility
Číslo projektu: CEZ:AV0Z10300504 (CEP), 1M0567 (CEP)
Poskytovatel projektu: GA MŠk
Práva: Dílo je chráněno podle autorského zákona č. 121/2000 Sb.

Instituce: Ústav informatiky AV ČR (web)
Původní záznam: http://hdl.handle.net/11104/0202590

Trvalý odkaz NUŠL: http://www.nusl.cz/ntk/nusl-77422


Záznam je zařazen do těchto sbírek:
Věda a výzkum > AV ČR > Ústav informatiky
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