Genetic Programming-based Feature Selection for Symbolic Regression on Incomplete Data
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High-dimensionality is one of the serious real-world data challenges in symbolic regression and it is more challenging if the data are incomplete. Genetic programming has been successfully utilised for high-dimensional tasks due to its natural feature selectio... ...