Better generalisation performance for symbolic regression models – UCD Natural Computing Research & Applications Group

Better generalisation performance for symbolic regression models

Miguel Nicolau with NCRA alumnus Alexandros Agapitos have published their latest research on function sets, generalisation and symbolic regression in the Genetic Programming & Evolvable Machines journal.

Nicolau, M., Agapitos, A. (2020). Choosing function sets with better generalisation performance for symbolic regression modelsGenetic Programming and Evolvable Machineshttps://doi.org/10.1007/s10710-020-09391-4

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