Adaptive non-negative projective semi-supervised learning for inductive classification.
Zhao ZhangLei JiaMingbo ZhaoQiaolin YeMin ZhangMeng WangPublished in: Neural Networks (2018)
Keyphrases
- semi supervised learning
- supervised learning
- machine learning
- improve the classification accuracy
- semi supervised classification
- semi supervised
- unsupervised learning
- co training
- uci datasets
- transductive support vector machine
- unlabeled data
- semi supervised learning algorithms
- labeled data
- labeled and unlabeled data
- unlabeled samples
- manifold regularization
- active learning
- label propagation
- classification accuracy
- text classification
- supervised learning algorithms
- class labels
- text categorization
- training data
- pattern recognition
- training set
- supervised classification
- labeled examples
- graph based semi supervised learning
- positive and negative
- feature extraction
- labeled instances
- feature space
- support vector machine
- multi view
- label information
- learning models
- learning tasks
- image classification
- graph construction
- object recognition
- instance selection
- support vector
- training samples
- dimension reduction