37 citations · 80 across the 4 of their papers we have counts for
4 papers
Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition
F. O. de Franca, M. Virgolin, M. Kommenda +21
Symbolic regression searches for analytic expressions that accurately describe studied phenomena. The main attraction of this approach is that it returns an interpretable model tha…
An Approach to Symbolic Regression Using Feyn
Kevin René Broløs, Meera Vieira Machado, Chris Cave +5
In this article we introduce the supervised machine learning tool called Feyn. The simulation engine that powers this tool is called the QLattice. The QLattice is a supervised mach…
Symbolic regression outperforms other models for small data sets
Casper Wilstrup, Jaan Kasak
Machine learning is often applied in health science to obtain predictions and new understandings of complex phenomena and relationships, but an availability of sufficient data for…
Statistics of non-polarized points in the CMB polarization maps
Jaan Kasak, James Creswell, Hao Liu +1
The non-polarized points (NPP) of the and Stokes parameters of the CMB can be classified according to the geometry of the polarization field. We describe a procedure to ide…