A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide
Titel:
A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide
Auteur:
Chen, Jie de Hoogh, Kees Gulliver, John Hoffmann, Barbara Hertel, Ole Ketzel, Matthias Bauwelinck, Mariska van Donkelaar, Aaron Hvidtfeldt, Ulla A. Katsouyanni, Klea Janssen, Nicole A.H. Martin, Randall V. Samoli, Evangelia Schwartz, Per E. Stafoggia, Massimo Bellander, Tom Strak, Maciek Wolf, Kathrin Vienneau, Danielle Vermeulen, Roel Brunekreef, Bert Hoek, Gerard