Probabilistic grammars for equation discovery

Author:

Brence JureORCID,Todorovski LjupčoORCID,Džeroski SašoORCID

Funder

Agencija za raziskovalno dejavnost Republike Slovenije

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference30 articles.

1. Computational Discovery of Scientific Knowledge: Introduction, Techniques, and Applications in Environmental and Life Sciences,2007

2. Distilling free-form natural laws from experimental data;Schmidt;Science,2009

3. Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions;Gomes;Knowl.-Based Syst.,2019

4. Discovering governing equations from data by sparse identification of nonlinear dynamical systems;Brunton;Proc. Natl. Acad. Sci.,2016

5. AI Feynman: A physics-inspired method for symbolic regression;Udrescu;Sci. Adv.,2020

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