A multifunctional matching algorithm for sample design in agricultural plots
Sign Up to like & getrecommendations! Published in 2021 at "Computers and Electronics in Agriculture"
DOI: 10.1016/j.compag.2021.106262
Abstract: Highlights • An algorithm for determining optimal sampling locations was developed.• It is based on multifunctional matching (MFM) using multiple known covariates.• MFM was tested in a peach orchard and a vineyard using easily acquired… read more here.
Keywords: matching algorithm; design agricultural; algorithm sample; multifunctional matching ... See more keywords
The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features
Sign Up to like & getrecommendations! Published in 2018 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2018.06.001
Abstract: Abstract Individualized behavioral/cognitive prediction using machine learning (ML) regression approaches is becoming increasingly applied. The specific ML regression algorithm and sample size are two key factors that non‐trivially influence prediction accuracies. However, the effects of… read more here.
Keywords: regression; individualized behavioral; algorithm sample; sample size ... See more keywords