A local approach to parameter space reduction for regression and classification tasks.
Francesco RomorMarco TezzeleGianluigi RozzaPublished in: CoRR (2021)
Keyphrases
- space reduction
- regression model
- regression analysis
- feature space
- principal component analysis
- ridge regression
- regression problems
- input parameters
- support vector regression
- regression methods
- neural network
- linear regression
- model selection
- machine learning
- parameter values
- regularization parameter
- parameter tuning
- support vector
- image processing
- optimal parameters
- feature selection
- gaussian process regression
- regression algorithm
- artificial intelligence
- locally weighted