Reconstructing Past Global Vegetation With Random Forest Machine Learning, Sacrificing the Dynamic Response for Robust Results
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Advances in Modeling Earth Systems"
DOI: 10.1029/2020ms002200
Abstract: Vegetation is an important component in the Earth system, providing a direct link between the biosphere and atmosphere. As such, a representative vegetation pattern is needed to accurately simulate climate. We attempt to model global… read more here.
Keywords: forest machine; random forest; vegetation; climate ... See more keywords
Bitter-RF: A random forest machine model for recognizing bitter peptides
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2023.1052923
Abstract: Introduction Bitter peptides are short peptides with potential medical applications. The huge potential behind its bitter taste remains to be tapped. To better explore the value of bitter peptides in practice, we need a more… read more here.
Keywords: bitter peptides; forest machine; bitter random; random forest ... See more keywords
A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility
Sign Up to like & getrecommendations! Published in 2020 at "Forests"
DOI: 10.3390/f11010118
Abstract: This study developed and verified a new hybrid machine learning model, named random forest machine (RFM), for the spatial prediction of shallow landslides. RFM is a hybridization of two state-of-the-art machine learning algorithms, random forest… read more here.
Keywords: machine; shallow landslide; forest machine; random forest ... See more keywords