Induction from Multi-Label Training Examples in Text Categorization: Combining Subclassifiers (a Case Study).
Kanoksri SarinnapakornMiroslav KubatPublished in: IC-AI (2007)
Keyphrases
- training examples
- text categorization
- multi label
- unlabeled data
- multi label classification
- small number
- active learning
- text classification
- semi supervised learning
- training set
- class labels
- knn
- training data
- labeled data
- image annotation
- supervised learning
- learning algorithm
- k nearest neighbor
- hierarchical text categorization
- support vector
- feature selection
- learning tasks
- binary classification
- text documents
- training samples
- multi label learning
- feature selections
- text classifiers
- nearest neighbor
- naive bayes
- inductive learning
- transfer learning
- classification accuracy
- background knowledge
- inductive logic programming
- hyperplane
- association rules
- decision trees
- machine learning
- neural network
- data sets