Global optimization for low-dimensional switching linear regression and bounded-error estimation.

Published in: Autom. (2018)

Keyphrases

global optimization
linear regression
error estimation
low dimensional
high dimensional
least squares
model selection
dimensionality reduction
regression problems

particle swarm optimization
high dimensional data
principal component analysis
error estimates
regression methods
loss bounds
linear regression model
data points

pso algorithm
dimension reduction
input space
ridge regression
global search
feature space
nonlinear regression
locally weighted

support vector machine
regression method
deterministic annealing
global solution
cross validation
multivariate regression
generalization error
image completion