Highly Influential

- Published 2016 in 2016 5th Brazilian Conference on Intelligent…
DOI:10.1109/BRACIS.2016.039

Sequential Symbolic Regression (SSR) is a technique that recursively induces functions over the error of the current solution, concatenating them in an attempt to reduce the error of the resulting model. As proof of concept, the method was previously evaluated in one-dimensional problems and compared with canonical Genetic Programming (GP) and Geometric… (More)

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