Stochastic scheduling of active support vector learning algorithms.

Gaurav Pandey Himanshu Gupta Pabitra Mitra

Published 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