Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods.
Matthias W. SeegerPublished in: NIPS (2006)
Keyphrases
- cross validation
- kernel methods
- hierarchical classification
- support vector
- hierarchical text classification
- model selection
- kernel function
- learning problems
- kernel based clustering
- hyperparameters
- support vector machine
- hierarchical structure
- variable selection
- machine learning
- kernel matrix
- generalization error
- reproducing kernel hilbert space
- classification algorithm
- training set
- kernel parameters
- text classification
- feature space
- feature selection
- kernel machines
- regularization parameter
- kernel learning
- learning tasks
- svm classifier
- kernel trick
- ls svm
- radial basis function
- real world
- data sets
- multiple kernel learning
- classification accuracy
- learning algorithm
- image processing
- loss function