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    Albert, J.; Antoranz, P.; Armada, A.; Baixeras, C.; Bartko, H.; Bastieri, D.; Becker, J.; Bednarek, W.; Berger, K.; Bigongiari, C.; Biland, A.; Bock, R.K.; Bordas, P.; Bosch-Ramon, V.; Bretz, T.; Camara, M.; Carmona, E.; Chilingarian, A.; Coarasa, J.A.; Cortina, J.; Costado, M.T.; Curtef, V.; Danielyan, V.; Dazzi, F.; De Angelis, A.; Delgado, C.; De Lotto, B.; Domingo-Santamaría, E.; Dorner, D.; Doro, M.; Errando, M.; Fagiolini, M.; Ferenc, D.; Firpo, R.; Fonseca, M.V.; Font, L.; Fuchs, M.; García-López, R.J.; Gaug, M.; Giller, M.; Goebel, F.; Hakobyan, D.; Hayashida, M.; Hengstebeck, T.; Höhne, D.; Hose, J.; Hsu, C.C.; Jogler, T.; Kosyra, R.; Kritzer, R.; Laille, A.; López, J.; López, M.; Lorenz, E.; Majumdar, P.; Maneva, G.; Mannheim, K.; Mazin, D.; Merck, C.; Meyer, M.; Miranda, J.M.; Mizobuchi, S.; Nieto, D.; Nilsson, K.; Oña-Wilhelmi, E.; Paoletti, R.; Paredes, J.M.; Pasanen, M.; Pascoli, D.; Pauss, F.; Pegna, R.; Persic, M.; Peruzzo, L.; Piccioli, A.; Puchades, N.; Prandini, E.; Rico, J.; Saggion, A.; Saito, T.Y.; Sánchez, A.; Sartori, P.; Scalzotto, V.; Scapin, V.; Schmitt, R.; Schweizer, T.; Sidro, N.; Sillanpää, A.; Stark, L.S.; Takalo, L.; Teshima, M.; Torres, D.F.; Turini, N.; Vankov, H.; Venturini, A.; Vitale, V.; Wagner, R.M.; Wittek, W.; Zandanel, F.; Zanin, R.; Zapatero, J.

    Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 04/2008, Volume: 588, Issue: 3
    Journal Article

    The paper describes an application of the tree classification method Random Forest (RF), as used in the analysis of data from the ground-based gamma telescope MAGIC. In such telescopes, cosmic gamma-rays are observed and have to be discriminated against a dominating background of hadronic cosmic-ray particles. We describe the application of RF for this gamma/hadron separation. The RF method often shows superior performance in comparison with traditional semi-empirical techniques. Critical issues of the method and its implementation are discussed. An application of the RF method for estimation of a continuous parameter from related variables, rather than discrete classes, is also discussed.