Improving Symbolic Regression for Predicting Materials Properties with Iterative Variable Selection.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.2c00281
Abstract: Symbolic regression offers a promising avenue for describing the structure-property relationships of materials with explicit mathematical expressions, yet it meets challenges when the key variables are unclear because of the high complexity of the problems.… read more here.
Keywords: iterative variable; regression; input features; symbolic regression ... See more keywords
Stable Iterative Variable Selection.
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab501
Abstract: MOTIVATION The emergence of datasets with tens of thousands of features, such as high-throughput omics biomedical data, highlights the importance of reducing the feature space into a distilled subset that can truly capture the signal… read more here.
Keywords: feature space; selection; stable iterative; variable selection ... See more keywords