A Variable Selection Method for Improving Variable Selection Consistency and Soft Sensor Performance.
Jangwon LeeJesus Flores-CerrilloJin WangQ. Peter HePublished in: ACC (2020)
Keyphrases
- variable selection
- cross validation
- linear models
- model selection
- high dimensional
- input variables
- dimension reduction
- ls svm
- logistic regression models
- clustering method
- feature selection
- soft sensor
- group lasso
- support vector machine
- learning algorithm
- high dimensional data
- intelligent systems
- input data
- artificial neural networks
- preprocessing
- decision making
- data mining
- neural network