Approximate Stochastic Subgradient Estimation Training for Support Vector Machines
Sangkyun LeeStephen J. WrightPublished in: CoRR (2011)
Keyphrases
- learning machines
- support vector
- stochastic optimization
- large margin classifiers
- training examples
- training set
- kernel function
- svm classifier
- learning algorithm
- estimation accuracy
- accurate estimation
- classification accuracy
- training algorithm
- support vector machine
- training process
- linear svm
- support vectors
- monte carlo
- cross validation
- logistic regression
- training samples
- supervised learning
- convex optimization
- training phase
- multistage
- multi class classification
- online learning
- reduced set