Machine Learning Methods in the Environmental Sciences

DOI10.1017/CBO9780511627217zbMath1179.68120OpenAlexW4240324316MaRDI QIDQ3182266

William W. Hsieh

Publication date: 7 October 2009

Full work available at URL: https://doi.org/10.1017/cbo9780511627217

zbMATH Keywords

general circulation models

Mathematics Subject Classification ID

Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Learning and adaptive systems in artificial intelligence (68T05) Meteorology and atmospheric physics (86A10) Computational methods for problems pertaining to geophysics (86-08)

Related Items (3)

Non-intrusive reduced-order modeling using uncertainty-aware deep neural networks and proper orthogonal decomposition: application to flood modeling ⋮ Improved multi-view GEPSVM via inter-view difference maximization and intra-view agreement minimization ⋮ Convergence analyses on sparse feedforward neural networks via group lasso regularization

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