Stochastic scheduling of active support vector learning algorithms.
Gaurav PandeyHimanshu GuptaPabitra MitraPublished in: SAC (2005)
Keyphrases
- support vector
- learning algorithm
- generalization ability
- training examples
- scheduling problem
- learning machines
- large margin classifiers
- kernel machines
- maximum margin
- round robin
- scheduling algorithm
- cross validation
- kernel function
- machine learning
- feature selection
- active learning
- support vector machine
- loss function
- machine learning algorithms
- monte carlo
- learning process
- resource constraints
- classification accuracy
- supervised learning
- active databases
- response time
- training data
- learning scheme
- binary classification
- hyperplane
- learning problems
- learning rate
- generalization error
- multi class classification
- training samples
- learning tasks
- kernel methods
- svm classifier