A novel semisupervised support vector machine classifier based on active learning and context information.
Fei GaoWenchao LvYaoTian ZhangJinping SunJun WangErfu YangPublished in: Multidimens. Syst. Signal Process. (2016)
Keyphrases
- active learning
- semi supervised
- support vector machine
- svm classifier
- training set
- semi supervised learning
- labeled data
- machine learning
- unlabeled data
- support vector machine svm
- supervised learning
- learning strategies
- multi class
- learning algorithm
- training data
- stock market prediction
- labeled examples
- selective sampling
- learning process
- pool based active learning
- multi class support vector machines
- support vector
- statistical learning theory
- random sampling
- kernel function
- feature vectors
- decision boundary
- experimental design
- hyperplane
- soft margin
- imbalanced data classification
- active learning strategies
- kernel methods
- k nearest neighbor
- generalization error
- cost sensitive
- reinforcement learning
- label propagation
- feature space
- svm classification
- pairwise
- decision forest
- sample selection
- training examples
- neural network
- knn
- transductive learning
- batch mode
- classification method
- small sample
- transfer learning
- binary classification