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1 Ergebnisse
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Recursive Random Forests Enable Better Predictive Performan..:
Zhu, Xiang-Wei
;
Xin, Yan-Jun
;
Ge, Hui-Lin
Journal of Chemical Information and Modeling. 55 (2015) 4 - p. 736-746 , 2015
Link:
https://doi.org/10.1021/ci500715e
RT Journal T1 <Title>Recursive Random Forests Enable Better Predictive Performance and Model Interpretation than Variable Selection by LASSO</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_ci500715e&Exemplar=1&LAN=DE A1 Zhu, Xiang-Wei A1 Xin, Yan-Jun A1 Ge, Hui-Lin PB American Chemical Society (ACS) YR 2015 SN 1549-9596 SN 1549-960X JF Journal of Chemical Information and Modeling VO 55 IS 4 SP 736 OP 746 LK http://dx.doi.org/https://doi.org/10.1021/ci500715e DO https://doi.org/10.1021/ci500715e SF ELIB - SuUB Bremen
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