Researchers have developed a new approach to symbolic regression using genetic programming, a method for constructing symbolic expressions that fit data. Their novel technique simultaneously optimizes both the structure of expressions and their contained real-valued constants. This integrated approach, merging the real-valued variant of GOMEA with GP-GOMEA, demonstrated superior performance compared to other methods of handling constants in GP-GOMEA. AI
IMPACT Introduces a more accurate method for symbolic regression, potentially improving AI's ability to derive mathematical models from data.
RANK_REASON The cluster contains an academic paper detailing a novel algorithm for symbolic regression. [lever_c_demoted from research: ic=1 ai=1.0]
Read on arXiv cs.NE (Neural & Evolutionary) →
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