Large-Scale Training of SVMs with Automata Kernels.
Cyril AllauzenCorinna CortesMehryar MohriPublished in: CIAA (2010)
Keyphrases
- support vector
- linear svm
- kernel function
- training set
- kernel svms
- learning machines
- kernel methods
- training algorithm
- svm training
- feature space
- early stopping
- cellular automata
- logistic regression
- training examples
- standard svm
- feature selection
- training speed
- svm classification
- training samples
- decision stumps
- training data
- margin maximization
- hyperplane
- polynomial kernels
- sparse kernel
- training support vector machines
- tree kernels
- large margin classifiers
- machine learning
- rbf kernel
- annotation effort
- neural network
- learning algorithm
- knn
- multiple kernel learning
- support vector machine
- multi class
- reduced set
- text categorization
- generalization ability
- image classification
- svm classifier
- training process
- classifier training
- binary classification
- kernel machines
- stochastic gradient descent
- kernel principal component analysis