Local Linear Forests

Rina Friedberg
Rina Friedberg
Julie Tibshirani
Julie Tibshirani
Stefan Wager
Stefan Wager

CoRR, Volume abs/1807.11408, 2018.

Cited by: 1|Views4
EI

Abstract:

Random forests are a powerful method for non-parametric regression, but are limited in their ability to fit smooth signals, and can show poor predictive performance in the presence of strong, smooth effects. Taking the perspective of random forests as an adaptive kernel method, we pair the forest kernel with a local linear regression ad...More

Code:

Data:

Full Text
Bibtex
Your rating :
0

 

Tags
Comments