ar X iv : h ep - e x / 02 05 06 9 v 1 2 1 M ay 2 00 2 Support Vector Machines in Analysis of Top Quark Production
نویسنده
چکیده
Multivariate data analysis techniques have the potential to improve physics analyses in many ways. The common classification problem of signal/background discrimination is one example. A comparison of a conventional method and a Support Vector Machine algorithm is presented here for the case of identifying top quark signal events in the dilepton decay channel amidst a large number of background events.
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