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Bayesian model selection for reducing bloat and overfitting in genetic programming for symbolic regression

Geoffrey F. Bomarito, Patrick E. Leser, N. C. M. Strauss, K. M. Garbrecht, J. D. Hochhalter. Bayesian model selection for reducing bloat and overfitting in genetic programming for symbolic regression. In Jonathan E. Fieldsend, Markus Wagner 0007, editors, GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9 - 13, 2022. pages 526-529, ACM, 2022. [doi]

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