Open AccessApplication of the random forest algorithm for predicting the persistence of seed banks in the Horqin Sandy Land, China
Author(s) -
Yingda Tang,
SS Jin
Publication year - 2018
Publication title -
phyton
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.202
H-Index - 17
eISSN - 1851-5657
pISSN - 0031-9457
DOI - 10.32604/phyton.2018.87.280
Subject(s) - persistence (discontinuity) , china , random forest , forestry , mathematics , environmental science , geography , geology , computer science , geotechnical engineering , artificial intelligence , archaeology
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