Predictive maintenance decision using statistical linear regression and kernel methods.
Tung LeMing LuoJunhong ZhouHian-Leng ChanPublished in: ETFA (2014)
Keyphrases
- linear regression
- kernel methods
- multivariate regression
- kernel density estimators
- least squares
- kernel function
- regression problems
- learning problems
- kernel matrix
- regression model
- regression methods
- support vector machine
- support vector
- learning tasks
- feature space
- ridge regression
- machine learning
- linear models
- nonlinear regression
- reproducing kernel hilbert space
- kernel pca
- multiple kernel
- information theoretic
- regression method
- statistical models
- high dimensional
- model selection
- data mining
- kernel fisher discriminant analysis
- feature extraction