Global optimization for low-dimensional switching linear regression and bounded-error estimation.
Fabien LauerPublished in: CoRR (2017)
Keyphrases
- global optimization
- linear regression
- error estimation
- low dimensional
- high dimensional
- least squares
- model selection
- high dimensional data
- regression problems
- regression methods
- dimensionality reduction
- principal component analysis
- error estimates
- particle swarm optimization
- data points
- loss bounds
- input space
- ridge regression
- global solution
- nonlinear regression
- dimension reduction
- linear regression model
- generalization error
- global search
- support vector machine
- image completion
- locally weighted
- constrained global optimization
- regression method
- feature space
- pso algorithm
- computer vision
- multivariate regression
- regression model
- active learning
- square loss
- learning algorithm