Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods.
Matthias W. SeegerPublished in: J. Mach. Learn. Res. (2008)
Keyphrases
- cross validation
- kernel methods
- support vector
- model selection
- kernel function
- support vector machine
- hyperparameters
- training set
- regression problems
- learning problems
- kernel machines
- feature space
- kernel matrix
- variable selection
- machine learning
- cross validated
- nearest neighbor classifiers
- classification accuracy
- generalization error
- loss function
- svm classification
- kernel parameters
- real world
- regularization parameter
- multiple kernel learning
- kernel based clustering
- learning tasks
- binary classification
- kernel learning
- kernel pca
- generalization ability
- hyperplane
- reproducing kernel hilbert space
- feature vectors
- ls svm
- support vector regression
- svm classifier
- feature extraction
- feature selection
- learning algorithm