2026-08-16T12:33:31Z https://oai.zbmath.org/v1/

oai:zbmath.org:7164777 2020-02-07T11:31:15Z 62

None Fisher, Aaron; Rudin, Cynthia; Dominici, Francesca 2019 7164777 English Microtome Publishing, Brookline, MA https://zbmath.org/07164777 Content generated by zbMATH Open, such as reviews, classifications, software, or author disambiguation data, are distributed under CC-BY-SA 4.0. This defines the license for the whole dataset, which also contains non-copyrighted bibliographic metadata and reference data derived from I4OC (CC0). Note that the API only provides a subset of the data in the zbMATH Open Web interface. In several cases, third-party information, such as abstracts, cannot be made available under a suitable license through the API. In those cases, we replaced the data with the string 'zbMATH Open Web Interface contents unavailable due to conflicting licenses.' J. Mach. Learn. Res. 20, Paper No. 177, 81 p. (2019). 62A01; 62G30; 62P25; 62M20; 62H30 All models are wrong, but many are useful: learning a variable's importance by studying an entire class of prediction models simultaneously j