Class Symbolic Regression: Gotta Fit 'Em All

Autor: Tenachi, Wassim, Ibata, Rodrigo, François, Thibaut L., Diakogiannis, Foivos I.

We introduce 'Class Symbolic Regression' (Class SR) a first framework for automatically finding a single analytical functional form that accurately fits multiple datasets - each realization being governed by its own (possibly) unique set of fitting p

Externí odkaz: http://arxiv.org/abs/2312.01816

Class Symbolic Regression: Gotta Fit ’Em All

Autor: Wassim Tenachi, Rodrigo Ibata, Thibaut L. François, Foivos I. Diakogiannis

Publikováno v: The Astrophysical Journal Letters, Vol 969, Iss 2, p L26 (2024)

We introduce “Class Symbolic Regression” (Class SR), the first framework for automatically finding a single analytical functional form that accurately fits multiple data sets—each realization being governed by its own (possibly) unique set of f

Externí odkaz: https://doaj.org/article/d7ba15e7421e4d1b9a52f7f63b70ce7d

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Luminescent Lanthanide Probes for Inorganic and Organic Phosphates.

Autor: Martinon, Thibaut L. M.¹ (AUTHOR), Pierre, Valérie C.¹ (AUTHOR) pierre@umn.edu

Publikováno v: Chemistry - An Asian Journal. Aug2022, Vol. 17 Issue 16, p1-23. 23p.

Genome-wide fine-mapping improves identification of causal variants.

Autor: Wu Y; Institute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China.; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia., Zheng Z; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA., Thibaut L; Institute of Rare Diseases, West China Hospital of Sichuan University, Chengdu, China.; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.; Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.; Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.; Faculty of Veterinary and Agricultural Science, University of Melbourne, Parkville, Victoria, Australia.; Biosciences Research Division, Department of Economic Development, Jobs, Transport and Resources, Bundoora, Victoria, Australia.; Department of Psychiatry, University of Oxford, Oxford, UK.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK., Goddard ME; Faculty of Veterinary and Agricultural Science, University of Melbourne, Parkville, Victoria, Australia.; Biosciences Research Division, Department of Economic Development, Jobs, Transport and Resources, Bundoora, Victoria, Australia., Wray NR; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.; Department of Psychiatry, University of Oxford, Oxford, UK., Visscher PM; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, UK., Zeng J; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.

Publikováno v: Research square [Res Sq] 2024 Aug 07. Date of Electronic Publication: 2024 Aug 07.