Imbalanced multi-label classification using multi-task learning with extractive summarization.
John BrandtPublished in: CoRR (2019)
Keyphrases
- multi task learning
- multi label classification
- multi label
- learning tasks
- multi task
- learning problems
- semi supervised learning
- binary classification
- binary classifiers
- multi class classification
- text categorization
- gaussian processes
- transfer learning
- learning models
- classification algorithm
- multi class
- graph cuts
- class imbalance
- learning algorithm
- image annotation
- high order
- theoretical analysis
- semi supervised
- image classification
- machine learning
- class labels
- text classification
- unsupervised learning