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This paper revisits datasets and evaluation criteria for Symbolic Regression (SR), specifically focused on its potential for scientific discovery.
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Solving the Symbolic Regression Problem with Tree Adjunct Grammar Guided Genetic Programming: The Comparative Results
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Semantically-based Crossover in Genetic Programming: Application to Real-valued Symbolic Regression
Nguyen Quang Uy, Nguyen Xuan Hoai, Michael O’Neill, Robert I McKay, and Edgar Galván-López · 2011
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Acquisition of Characteristic Tree Patterns with VLDC’s by Genetic Programming and Edit Distance
Shohei Nakai, Tetsuhiro Miyahara, Tetsuji Kuboyama, Tomoyuki Uchida, and Yusuke Suzuki · 2013
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Quantum Field Theory and the Standard Model
Matthew D Schwartz · 2014
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