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. ( INTERNATIONAL POPLAR COMMISSION 22ND SESSION: THE CONTRIBUTION OF POPLARS AND WILLOWS TO SUSTAINABLE FORESTRY AND RURAL DEVELOPMENT SANTIAGO (CILE) 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.
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