Maximum likelihood optimal and robust Support Vector Regression with lncosh loss function.
Omer KaralPublished in: Neural Networks (2017)
Keyphrases
- loss function
- support vector regression
- support vector
- solution path
- maximum likelihood
- optimal parameters
- pairwise
- support vector classification
- logistic regression
- kernel function
- empirical risk
- regression model
- support vector machine svm
- hyperparameters
- boosting algorithms
- image processing
- boosting framework
- reproducing kernel hilbert space
- support vector machine
- hybrid model
- binary classification
- kernel learning
- regression method
- risk minimization
- optimal solution
- maximum a posteriori
- least squares