Tikhonov, Ivanov and Morozov regularization for support vector machine learning.
Luca OnetoSandro RidellaDavide AnguitaPublished in: Mach. Learn. (2016)
Keyphrases
- machine learning
- support vector
- regularization parameter
- regularization methods
- cross validation
- support vector machine
- regularization term
- kernel methods
- regularization method
- feature selection
- learning machines
- hyperparameters
- tikhonov regularization
- logistic regression
- kernel machines
- svm classifier
- loss function
- learning algorithm
- decision trees
- model selection
- kernel function
- mercer kernels
- learning tasks
- pattern recognition
- knowledge acquisition
- polynomial kernels
- generalization ability
- active learning
- reproducing kernel hilbert space
- computer vision
- natural language processing
- classification accuracy
- reinforcement learning
- computer science
- maximum margin
- hyperplane
- total variation
- data mining
- machine learning algorithms
- ls svm
- energy functional
- feature ranking
- text classification
- stochastic gradient descent
- least squares support vector machine
- training set
- soft margin
- image restoration