Sparse Orthogonal Regression Technique: A Spectral Framework for Equation Discovery, Approximation, and Integration

Sabin Roman, Ljupco Todorovski, Saso Dzeroski

We develop the Sparse Orthogonal Regression Technique (SORT), a sparse spectral framework for learning orthonormal-basis expansions from noisy and irregularly sampled data. SORT es…