Contrasting random and learned features in deep Bayesian linear regression.

Jacob A. Zavatone-Veth William L. Tong Cengiz Pehlevan

Published in: CoRR (2022)

Keyphrases

linear regression
least squares
linear regression model
regression problems
feature extraction
ridge regression
kernel regression
regression methods
feature vectors
extracted features
feature set
feature space
nonlinear regression
locally weighted
generalized linear models
multivariate regression
computer vision