Support Vector Regression-Based Active Subspace (SVR-AS) Modeling of High-Speed Links for Fast and Accurate Sensitivity Analysis.
Hanzhi MaEr-Ping LiAndreas C. CangellarisXu ChenPublished in: IEEE Access (2020)
Keyphrases
- sensitivity analysis
- support vector
- high speed
- support vector regression
- managerial insights
- influence diagrams
- kernel function
- support vector machine
- cross validation
- feature space
- logistic regression
- low power
- variational inequalities
- generalization ability
- regression model
- classification accuracy
- svm classifier
- loss function
- principal component analysis
- subspace clustering
- subspace learning
- linear subspace
- high dimensional data
- rbf kernel
- real time