Improved identification accuracy in equation learning via comprehensive ${\mathbf{R}}^2$-elimination and Bayesian model selection

Daniel Nickelsen, Bubacarr Bah

In the field of equation learning, exhaustively considering all possible equations derived from a basis function dictionary is infeasible. Sparse regression and greedy algorithms h…