Benchmarking four multi-view symbolic regression packages on five real scientific datasets shows all find accurate compact models; parameter limits and shared constants emerge as key design features.
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Exploring Multi-view Symbolic Regression methods in physical sciences
Benchmarking four multi-view symbolic regression packages on five real scientific datasets shows all find accurate compact models; parameter limits and shared constants emerge as key design features.