tag:joss.theoj.org,2005:/papers/tagged/symbolic%20regressionJournal of Open Source Software2022-03-16T15:43:08ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/30902022-03-16T15:43:08Z2022-03-17T00:01:34ZSISSO++: A C++ Implementation of the Sure-Independence Screening and Sparsifying Operator Approachacceptedv1.0.02021-10-01 10:23:53 UTC712022-03-16 15:43:08 UTC720223960ThomasA. r.PurcellNOMAD Laboratory at the Fritz Haber Institute of the Max Planck Society and Humboldt University, Berlin, Germany0000-0003-4564-7206MatthiasSchefflerNOMAD Laboratory at the Fritz Haber Institute of the Max Planck Society and Humboldt University, Berlin, GermanyChristianCarbognoNOMAD Laboratory at the Fritz Haber Institute of the Max Planck Society and Humboldt University, Berlin, Germany0000-0003-0635-8364LucaM.GhiringhelliNOMAD Laboratory at the Fritz Haber Institute of the Max Planck Society and Humboldt University, Berlin, Germany0000-0001-5099-302910.21105/joss.03960https://doi.org/10.5281/zenodo.6245396Python, C++https://joss.theoj.org/papers/10.21105/joss.03960.pdfSISSO, Symbolic Regression, Physicstag:joss.theoj.org,2005:Paper/16302020-07-16T08:17:38Z2021-02-15T11:30:44Zdcgp: Differentiable Cartesian Genetic Programming made easy.acceptedv1.5.12020-05-21 05:51:05 UTC512020-07-16 08:17:38 UTC520202290DarioIzzoAdvanced Concepts Team, European Space Research and Technology Center (Noordwijk, NL)0000-0002-9846-8423FrancescoBiscaniMax Planck Institute for Astronomy (Heidelberg, D)10.21105/joss.02290https://doi.org/10.5281/zenodo.3802555https://joss.theoj.org/papers/10.21105/joss.02290.pdfPython, genetic programming, cartesian genetic programming, symblic regression, neural networkstag:joss.theoj.org,2005:Paper/11532019-09-20T14:28:10Z2021-02-15T11:31:48ZpySRURGS - a python package for symbolic regression by uniform random global searchaccepted0.12019-08-11 04:01:31 UTC412019-09-20 14:28:10 UTC420191675SohrabTowfighiUniversity of Toronto, Faculty of Medicine0000-0002-3050-894310.21105/joss.01675https://doi.org/10.5281/zenodo.3442594Pythonhttps://joss.theoj.org/papers/10.21105/joss.01675.pdfsymbolic regression, regression analysis, random search, genetic programming