arXiv Machine Learning August 14, 2026 By Sabin Roman, Ljupco Todorovski, Saso Dzeroski

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

Read the original on arXiv Machine Learning →

arXiv:2608. 13504v1 Announce Type: new Abstract: We develop the Sparse Orthogonal Regression Technique (SORT), a sparse spectral framework for learning orthonormal-basis expansions from noisy and irregularly sampled data.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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