Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data.
Jun GuoHeng ChangWenwu ZhuPublished in: AAAI (2020)
Keyphrases
- unlabeled data
- feature selection
- select relevant features
- text classification
- labeled data
- text categorization
- semi supervised learning
- semi supervised
- co training
- semi supervised classification
- supervised learning
- active learning
- labeled and unlabeled data
- training data
- labeled training data
- learning algorithm
- data points
- semi supervised feature selection
- instance selection
- feature extraction
- labeled examples
- number of labeled examples
- machine learning
- feature space
- unsupervised learning
- training set
- naive bayes
- support vector
- supervised learning tasks
- transfer learning
- class labels
- manifold regularization
- positive examples
- feature set
- prior knowledge
- multi label
- knn
- classification accuracy
- training examples
- feature subset
- model selection
- domain adaptation
- decision boundary
- text classifiers
- text mining