Počet záznamů: 1
Volatility of selected separators/classifiers wrt. data sets from field of particle physics
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SYSNO ASEP 0368174 Druh ASEP V - Výzkumná zpráva Zařazení RIV Záznam nebyl označen do RIV Název Volatility of selected separators/classifiers wrt. data sets from field of particle physics Tvůrce(i) Jiřina, Marcel (UIVT-O) SAI, RID
Hakl, František (UIVT-O) SAI, RID, ORCIDVyd. údaje Prague: ICS AS CR, 2011 Edice Technical Report Č. sv. edice V-1126 Poč.str. 10 s. Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova multivariate data ; volatility ; classification ; signal-background separation ; physics event data ; particle physics Vědní obor RIV BB - Aplikovaná statistika, operační výzkum CEP 1M0567 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy CEZ AV0Z10300504 - UIVT-O (2005-2011) Anotace 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. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2012
Počet záznamů: 1