Investigating the use of linear programming to solve implicit symbolic regression problems.

Quang Nhat Huynh Hemant Kumar Singh Tapabrata Ray

Published in: GECCO (Companion) (2019)

Keyphrases

regression problems
linear programming
linear regression
genetic programming
cross validation
random forests
input space
multi task
high dimensional data
pattern recognition
objective function
hyperparameters
evolutionary algorithm
special case
np hard
training set
machine learning
feature selection