New Developments in Sparse PLS Regression.
Jérémy MagnanensiMyriam Maumy-BertrandNicolas MeyerFrédéric BertrandPublished in: Frontiers Appl. Math. Stat. (2021)
Keyphrases
- partial least squares
- canonical correlation analysis
- principal component regression
- regression model
- sparse regression
- sparse bayesian learning
- sparse kernel
- relevance vector machine
- discriminant analysis
- dimension reduction
- linear regression
- generalized linear models
- multiple regression
- model selection
- regression method
- artificial intelligence
- locally weighted
- ridge regression
- partial least square regression
- sparse matrix
- regression methods
- sparse representation
- high dimensional
- covariance function
- regression problems
- gaussian processes
- gaussian process regression
- regression algorithm
- sparse data
- regression function
- feature selection and classification
- gaussian process
- support vector regression
- least squares
- support vector