CERN Accelerating science

Title Multivariate decision tree designing for the classification of multi-jet topologies in e sup + e sup - collisions
Author(s) Mjahed, M
In: Nucl. Instrum. Methods Phys. Res., A 481 , 1-3 (2002) 601-614
Subject category Condensed Matter
Abstract The binary decision tree method is used to separate between several multi-jet topologies in e sup + e sup - collisions. Instead of the univariate process usually taken, a new design procedure for constructing multivariate decision trees is proposed. The segmentation is obtained by considering some features functions, where linear and non-linear discriminant functions and a minimal distance method are used. The classification focuses on ALEPH simulated events, with multi-jet topologies. Compared to a standard univariate tree, the multivariate decision trees offer significantly better performance.

Corresponding record in: INSPIRE

 Record created 2004-07-14, last modified 2018-08-06