Nonparametric formulation of polynomial chaos expansion based on least-square support-vector machines.
Paolo ManfrediRiccardo TrincheroPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- least squares
- support vector
- large margin classifiers
- learning machines
- ls svm
- feature selection
- support vector machine
- hyperplane
- neural network
- kernel function
- logistic regression
- svm classifier
- loss function
- decision function
- polynomial kernels
- data driven
- classification accuracy
- cross validation
- particle swarm optimization
- generalization bounds
- kernel density estimation
- quadratic programming
- multi class classification
- general loss functions
- standard svm
- support vectors
- support vector regression
- generalization ability
- learning theory
- maximum entropy
- training examples
- model selection
- level set