most citedApproximating the universal thermal climate index using sparse regression with orthogonal polynomials

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cs.LG2026

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…