Multi-Class Transductive Classification Based on Local Learning and Adjustable Class Label Representation.
Jia LvNaiyang DengPublished in: Int. J. Pattern Recognit. Artif. Intell. (2012)
Keyphrases
- multi class
- class labels
- multi class classifier
- transductive learning
- supervised learning
- labeled and unlabeled data
- class probabilities
- support vector machine
- labeled data
- multi class classification
- multiclass classification
- cost sensitive
- learning process
- semi supervised
- classification algorithm
- active learning
- classification accuracy
- base classifiers
- unlabeled data
- semi supervised learning
- unsupervised learning
- learning problems
- multi class boosting
- learning algorithm
- machine learning
- training data
- text classification
- support vector
- binary classifiers
- binary and multi class
- feature selection
- conditional likelihood
- multiple classes
- reinforcement learning
- pairwise
- learning tasks
- binary classification
- training set
- multi class problems
- error correcting output codes
- prior knowledge
- image classification
- decision boundary
- training dataset
- multi label classification
- feature space
- feature extraction
- decision trees
- feature set