A working guide to boosted regression trees
- Author
- ELITH, J1 ; LEATHWICK, J. R2 ; HASTIE, T3
[1] School of Botany, The University of Melbourne, Parkville, Victoria, 3010, Australia
[2] National Institute of Water and Atmospheric Research, PO Box 11115, Hamilton, New Zealand
[3] Department of Statistics, Stanford University, CA, United States - Source
Journal of animal ecology. 2008, Vol 77, Num 4, pp 802-813, 12 p ; ref : 1/2 p
- Publisher
- Blackwell, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- data mining machine learning model averaging random forests species distributions
- Keyword (fr)
- Aire de distribution Analyse régression Apprentissage Exploitation minière Forêt Industrie extractive Modèle Répartition spatiale Processus acquisition Répartition géographique
- Keyword (en)
- Distribution range Regression analysis Learning Mining Forests Mining industry Models Spatial distribution Acquisition process Geographic distribution
- Keyword (es)
- Area de distribución Análisis regresión Aprendizaje Explotación minera Bosque Industria extractiva Modelo Distribución espacial Proceso adquisición Distribución geográfica
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14B Animal and plant ecology / 002A14B01 General aspects
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A33 Forestry / 002A33A Generalities. Production, biomass. Quality of wood and forest products. General forest ecology / 002A33A02 General forest ecology
- Discipline
- Animal, vegetal and microbial ecology Silviculture
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20434282
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1111/j.1365-2656.2008.01390.x 
https://dx.doi.org/10.1111/j.1365-2656.2008.01390.x
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