Generalizing Labeled and Unlabeled Sample Compression to Multi-label Concept Classes.
Rahim SameiBoting YangSandra ZillesPublished in: ALT (2014)
Keyphrases
- multi label
- concept classes
- multiple labels
- class labels
- multi label classification
- supervised learning
- text categorization
- learning theory
- training data
- vc dimension
- sample complexity
- upper bound
- image classification
- graph cuts
- efficient learning
- image annotation
- binary classification
- compression scheme
- unlabeled data
- learning tasks
- labeled examples
- sample size
- learning models
- text classification
- image compression
- semi supervised learning
- training set
- labeled data
- classification algorithm
- compression ratio
- training examples
- markov random field
- semi supervised
- lower bound
- learning problems
- active learning
- membership queries
- learning algorithm
- data sets
- feature extraction
- feature selection
- data mining