Online Learning of Maximum p-Norm Margin Classifiers with Bias.
Kosuke IshibashiKohei HatanoMasayuki TakedaPublished in: COLT (2008)
Keyphrases
- online learning
- support vector
- training set
- decision boundary
- distance education
- bias variance decomposition
- higher education
- maximal margin
- feature selection
- e learning
- binary classification
- computer mediated
- machine learning algorithms
- linear classifiers
- online course
- naive bayes
- training data
- test set
- active learning
- training examples
- boosting algorithms
- training samples
- generalization error
- machine learning
- classification accuracy
- data points
- support vector machine
- feature set
- classification algorithm
- loss function
- data sets
- ensemble learning
- cross validation
- extended boolean
- decision trees