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