A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability.
Dit-Yan YeungHong ChangGuang DaiPublished in: Neural Comput. (2008)
Keyphrases
- generalization ability
- learning algorithm
- support vector machine
- support vector
- semi supervised
- ensemble learning
- support vector machine svm
- kernel methods
- active learning
- bp neural network
- generalization bounds
- machine learning
- machine learning algorithms
- unlabeled data
- training data
- hidden neurons
- semi supervised learning
- training examples
- regression algorithm
- back propagation
- regression model
- feature selection
- labeled data
- feature vectors
- learning tasks
- pattern recognition
- learning rate
- data mining
- svm training