A new and informative active learning approach for support vector machine.
Lisha HuShu-Xia LuXizhao WangPublished in: Inf. Sci. (2013)
Keyphrases
- active learning
- support vector machine
- training set
- machine learning
- statistical learning theory
- svm classifier
- imbalanced data classification
- selective sampling
- multi class
- active learner
- sample selection
- feature selection
- semi supervised
- support vector machine svm
- support vector
- training data
- learning strategies
- learning algorithm
- feature vectors
- classification accuracy
- random sampling
- training examples
- kernel function
- classification algorithm
- multi class support vector machines
- stock market prediction
- supervised learning
- active learning strategies
- labeled data
- classification method
- semi supervised learning
- cost sensitive
- unlabeled data
- pool based active learning
- generalization error
- binary classification
- experimental design
- annotation effort
- small sample
- learning process
- query by committee
- knn
- k nearest neighbor
- feature space
- naive bayes
- lp norm
- pairwise
- decision forest
- sample complexity
- generalization ability
- hyperplane