Robust regularized extreme learning machine for regression with non-convex loss function via DC program.
Kuaini WangHuimin PeiJinde CaoPing ZhongPublished in: J. Frankl. Inst. (2020)
Keyphrases
- loss function
- risk minimization
- hinge loss
- extreme learning machine
- support vector regression
- support vector
- reproducing kernel hilbert space
- pairwise
- convex loss functions
- gaussian processes
- regression model
- feedforward neural networks
- feed forward neural networks
- convex optimization
- model selection
- multi layer
- linear regression
- least squares
- machine learning
- single layer
- semi supervised
- multi class
- objective function