Regularization in Symbolic Regression by an Additional Fitness Objective
Symbolic regression is a method for discovering functions that minimize error on a given dataset. It is of interest to prevent overfitting in symbolic regression. In this work, regularization of symbolic regression is attempted by incorporating an additional fitness objective. This new fitness objec...
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| Format: | Others |
| Language: | en |
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ScholarWorks @ UVM
2018
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| Online Access: | https://scholarworks.uvm.edu/graddis/965 https://scholarworks.uvm.edu/cgi/viewcontent.cgi?article=1965&context=graddis |