Approximating Multi-class Text Classification Via Automatic Generation of Training Examples.
Filippo GeraciTiziano PapiniPublished in: CICLing (2) (2017)
Keyphrases
- data sets
- multi class
- training examples
- text classification
- labeled data
- training set
- feature selection
- training data
- unlabeled data
- support vector machine
- small number
- text categorization
- learning algorithm
- active learning
- semi supervised learning
- multi class classification
- bag of words
- object categories
- machine learning
- supervised learning
- support vector
- text mining
- multi label
- class labels
- object detection
- pairwise
- binary classification
- training samples
- knn
- naive bayes
- multi task
- class probabilities
- misclassification costs
- cost sensitive
- transfer learning
- binary classifiers
- class distribution
- unsupervised learning
- base classifiers
- decision trees
- positive examples
- computer vision