Robust Variable Selection and Estimation Based on Kernel Modal Regression.
Changying GuoBiqin SongYingjie WangHong ChenHuijuan XiongPublished in: Entropy (2019)
Keyphrases
- variable selection
- model selection
- linear models
- cross validation
- input variables
- high dimensional
- support vector
- dimension reduction
- proportional hazards model
- group lasso
- gaussian processes
- regression model
- regression problems
- reproducing kernel hilbert space
- stepwise regression
- neural network
- feature space
- estimation problems
- high dimensional data
- data sets
- kernel function
- training set
- decision trees
- image processing
- ls svm
- machine learning
- data mining