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Found 4 papers, 1 papers with code
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition
Symbolic regression searches for analytic expressions that accurately describe studied phenomena.
An Approach to Symbolic Regression Using Feyn
In this article we introduce the supervised machine learning tool called Feyn.
Symbolic regression outperforms other models for small data sets
This study demonstrates that for small training sets of 250 observations, symbolic regression generalises better to out-of-sample data than traditional machine learning frameworks, as measured by the coefficient of determination R2 on the validation set.
Statistics of non-polarized points in the CMB polarization maps
We show that the total number density of non-polarized points of the E- and B-families is closely related to the presence of lensing and the tensor-to-scalar ratio $r$.
Cosmology and Nongalactic Astrophysics
