Leave-one-out bounds for support vector ordinal regression machine.
Zhixia YangYingjie TianNaiyang DengPublished in: Neural Comput. Appl. (2009)
Keyphrases
- ordinal regression
- binary classification
- support vector
- learning machines
- cross validation
- gaussian processes
- hyperparameters
- support vector machine
- learning problems
- upper bound
- gaussian process
- cost sensitive
- kernel function
- generalization error
- multiple criteria
- classification accuracy
- regression problems
- multi class
- loss function
- lower bound
- logistic regression
- worst case
- training examples
- prior knowledge
- feature selection
- class imbalance
- kernel methods
- multi label
- prediction accuracy
- semi supervised learning