Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning.
Dayou YuWeishi ShiQi YuPublished in: ICML (2023)
Keyphrases
- multi class
- support vectors
- active learning
- dual space
- support vector machine
- training examples
- training set
- unlabeled data
- support vector
- labeled data
- machine learning
- svm classifier
- training samples
- training data
- semi supervised
- supervised learning
- decision boundary
- hyperplane
- multi class classification
- kernel function
- random sampling
- semi supervised learning
- learning algorithm
- kernel matrix
- binary classification
- multiclass problems
- labeled examples
- feature selection
- cost sensitive
- multiclass classification
- pairwise
- base classifiers
- boosting algorithms
- input space
- kernel methods
- support vector machine svm
- feature space
- small number
- feature vectors
- class labels
- class imbalance
- data sets
- k nearest neighbor
- classification accuracy
- neural network
- binary classifiers
- transfer learning
- model selection
- learning process