New numerical techniques based on computer simulation approaches were applied to overcome difficulties due to the probability distribution of different traits used in clone identification. Among others, the procedure known as Random Forest results particularly suitable for poplar clone discrimination.

THE IDENTIFICATION OF POPLAR CLONES BY MONTECARLO METHODS: THE RANDOM FORESTS / CAMUSSI, A.; STEFANINI, F. M.. - STAMPA. - -(2004), pp. 16-16. ((Intervento presentato al convegno INTERNATIONAL POPLAR COMMISSION 22ND SESSION: THE CONTRIBUTION OF POPLARS AND WILLOWS TO SUSTAINABLE FORESTRY AND RURAL DEVELOPMENT tenutosi a SANTIAGO (CILE) nel 29/11 -2/12/2004.

THE IDENTIFICATION OF POPLAR CLONES BY MONTECARLO METHODS: THE RANDOM FORESTS

CAMUSSI, ALESSANDRO;STEFANINI, FEDERICO MATTIA
2004

Abstract

New numerical techniques based on computer simulation approaches were applied to overcome difficulties due to the probability distribution of different traits used in clone identification. Among others, the procedure known as Random Forest results particularly suitable for poplar clone discrimination.
Abstracts of Submitted Papers - International Poplar Commission 22nd Session
INTERNATIONAL POPLAR COMMISSION 22ND SESSION: THE CONTRIBUTION OF POPLARS AND WILLOWS TO SUSTAINABLE FORESTRY AND RURAL DEVELOPMENT
SANTIAGO (CILE)
29/11 -2/12/2004
CAMUSSI, A.; STEFANINI, F. M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/12352
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