Bayesian support vector regression using a unified loss function.
Wei ChuS. Sathiya KeerthiChong Jin OngPublished in: IEEE Trans. Neural Networks (2004)
Keyphrases
- loss function
- support vector regression
- support vector
- kernel function
- pairwise
- support vector machine svm
- hybrid model
- logistic regression
- solution path
- risk minimization
- support vector machine
- support vector classification
- regression model
- nonlinear regression
- feature selection
- reproducing kernel hilbert space
- regression method
- empirical risk
- boosting framework
- hyperparameters
- bayesian inference
- boosting algorithms
- pattern recognition
- machine learning
- cross validation
- classification accuracy
- binary classification
- stochastic gradient descent