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- W2962548675 abstract "Approaches that attempt to combine feature selection and symbolic feature evolution processes have gained popularity in the recent years to solve symbolic regression problems. However, much of the existing research is applicable/has been applied to solve explicit equations (y = f (x)) only, which cannot be directly applied to discover implicit equations (f (x) = 0). In this paper, we investigate a potential approach that uses Linear Programming to construct meaningful implicit equations out of a set of evolving features." @default.
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- W2962548675 date "2019-07-13" @default.
- W2962548675 modified "2023-09-26" @default.
- W2962548675 title "Investigating the use of linear programming to solve implicit symbolic regression problems" @default.
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- W2962548675 doi "https://doi.org/10.1145/3319619.3321889" @default.
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