Keyphrases
- kernel ridge regression
- gradient boosting
- early stopping
- ensemble methods
- ensemble learning
- learning algorithm
- feature selection
- fixed point
- machine learning
- projection operator
- inverse problems
- weak learners
- kernel machines
- boosting algorithms
- data dependent
- cost sensitive
- neural network
- parameter selection
- blind deconvolution
- regularization term
- stochastic gradient descent
- regularization parameter
- structured sparsity
- smoothing parameter
- active learning