Robust Extreme Learning Machines with Different Loss Functions.
Zhuo RenLiming YangPublished in: Neural Process. Lett. (2019)
Keyphrases
- loss function
- extreme learning machines
- squared error
- pairwise
- support vector
- loss minimization
- risk minimization
- logistic regression
- learning to rank
- empirical risk
- learning models
- reproducing kernel hilbert space
- convex loss functions
- update rules
- boosting framework
- square loss
- pairwise constraints
- feature selection
- boosting algorithms
- training data