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Giorgio Morales

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#machine learning Preprint Oct 2026

Exhaustive Canonical Skeletons Generation: A Formal Dataset for Decomposable Symbolic Regression

An exhaustive dataset of univariate canonical skeletons generated via a deterministic constrained context-free grammar designed to support the decomposable SR paradigm to solve multivariate SR problems without assuming linear separability is introduced.

Giorgio Morales, Anikó Ekárt · 0 citations

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