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cs.LG2023
Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System
Charles Fox, Neil Tran, Nikki Nacion +2
Symbolic Regression (SR) can generate interpretable, concise expressions that fit a given dataset, allowing for more human understanding of the structure than black-box approaches.…
cs.LG2020★ 3 cited
Symbolic Regression using Mixed-Integer Nonlinear Optimization
Vernon Austel, Cristina Cornelio, Sanjeeb Dash +4
The Symbolic Regression (SR) problem, where the goal is to find a regression function that does not have a pre-specified form but is any function that can be composed of a list of…