Automated feature selection for a machine learning approach toward modeling a mosquito distribution
Sign Up to like & getrecommendations! Published in 2017 at "Ecological Modelling"
DOI: 10.1016/j.ecolmodel.2017.02.029
Abstract: This paper introduces a data science method to determine a set of features for training a vector support machine (SVM). The SVM is used to model the relationship between the distribution of one particular invasive… read more here.
Keywords: machine; feature selection; automated feature; selection machine ... See more keywords
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological methods"
DOI: 10.1037/met0000478
Abstract: Psychological researchers often use standard linear regression to identify relevant predictors of an outcome of interest, but challenges emerge with incomplete data and growing numbers of candidate predictors. Regularization methods like the LASSO can reduce… read more here.
Keywords: missing data; apply variable; machine learning; variable selection ... See more keywords