Learning similarity metric to improve the performance of lazy multi-label ranking algorithms.
Oscar Gabriel Reyes PupoCarlos MorellSebastián VenturaPublished in: ISDA (2012)
Keyphrases
- multi class
- multi label
- similarity metric
- ranking algorithm
- binary classification
- multi label classification
- learning tasks
- learning algorithm
- multi label learning
- learning process
- text categorization
- cost sensitive
- small number
- unsupervised learning
- supervised learning
- link structure
- data sets
- graph cuts
- class labels
- image classification
- learning problems
- image annotation
- support vector
- training data