Ideas tagged with feature selection

Backward stepwise elimination: A model-based method for nonlinear dimension reduction

In multidimensional data modeling, dimension reduction is not intuitive. Forward feature selection is usually deceptive. That is, a strongly related feature may have a small correlation coefficient (near zero) to the objective, especially when the target model is nonlinear. Therefore, we suggest...

By Changtong Luo