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DASS: A Solver-Adaptable Dynamic Auxiliary Search Strategy for Symbolic Regression
Symbolic regression (SR) aims to discover interpretable mathematical expressions from data and plays a key role in scientific discovery. However, existing methods face a common bottleneck: the enormous search space and severe combinatorial explosion make it difficult to achieve a favorable trade-off
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