← Назад к работе
Работы, на которые ссылается эта работа
Работ: 44
Работа: Assessment of a probabilistic supervised machine learning method to estimate biomass expansion and conversion factors: a case study on cedar and pine trees
Scikit-learn: Machine Learning in Python
Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort +16
Препринт2012Цитирований: 14ABINonlinear Regression Analysis and Its Applications
Douglas M. Bates, Donald G. Watts
Книга1988Цитирований: 4ABIRegeneration of Lebanon cedar (Cedrus libani A. Rich.) on karstic lands in Turkey
Статья2002Цитирований: 3ABIBiomass expansion factors for Sitka spruce (Picea sitchensis (Bong.) Carr.) in Ireland
Brian Tobin, Maarten Nieuwenhuis
Статья2005Цитирований: 2ABIOn the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown
Статья1967Цитирований: 2ABIBiomass Expansion Factors of Natural Japanese Red Pine (Pinus densiflora) Forests in Korea
Xiaodong Li, Myong Jong Yi, Yowhan Son +5
Статья2010Цитирований: 2ABI