A generative adversarial framework for positive-unlabeled classification.
Ming HouQibin ZhaoChao LiBrahim Chaib-draaPublished in: CoRR (2017)
Keyphrases
- class labels
- main contribution
- unsupervised learning
- pattern recognition
- video classification
- generative model
- machine learning
- training set
- data sets
- supervised learning
- positive and negative
- data mining
- theoretical framework
- classification algorithm
- training examples
- classification systems
- classification scheme
- document classification
- machine learning methods
- semi supervised learning
- decision trees
- support vector
- classification accuracy
- prior knowledge
- feature vectors