Symbolic Regression as Feature Engineering Method for Machine and Deep Learning Regression Tasks.

Assaf Shmuel Oren Glickman Teddy Lazebnik

Published in: CoRR (2023)

Keyphrases

genetic programming
deep learning
symbolic regression
regression problems
prior knowledge
machine learning
image processing
feature engineering
support vector machine
em algorithm
model selection
segmentation method
cross validation