On Stochastic Optimization and Statistical Learning in Reproducing Kernel Hilbert Spaces by Support Vector Machines (SVM).
Vladimir I. NorkinPublished in: Informatica (2009)
Keyphrases
- statistical learning
- stochastic optimization
- support vector
- reproducing kernel hilbert space
- kernel function
- kernel methods
- loss function
- learning machines
- gaussian kernels
- information theory
- model selection
- support vector machine
- svm classifier
- support vectors
- statistical learning theory
- supervised learning
- cross validation
- feature selection
- kernel matrix
- kernel machines
- hyperparameters
- hyperplane
- training examples
- feature space
- gaussian process
- robust optimization
- learning problems
- generalization ability
- input space
- semi supervised learning
- information theoretic
- support vector machine svm
- soft margin
- data sets
- text mining
- multiple kernel learning
- regression model
- feature vectors