Classification of Multi-labeled Data: A Generative Approach.
Andreas P. StreichJoachim M. BuhmannPublished in: ECML/PKDD (2) (2008)
Keyphrases
- labeled data
- text classification
- class labels
- unlabeled data
- supervised learning
- semi supervised
- semi supervised learning
- semi supervised classification
- labeled and unlabeled data
- co training
- semisupervised learning
- supervised learning algorithms
- active learning
- labeled training data
- label information
- supervised classification
- domain adaptation
- unsupervised learning
- fully supervised
- supervised classifiers
- transfer learning
- labeled instances
- semi supervised learning algorithms
- training data
- prior knowledge
- data points
- feature extraction
- labeling process
- labeling effort
- generative model
- machine learning
- labeled examples
- feature selection
- text mining
- unlabeled samples
- training examples
- feature space
- labeled training set
- probabilistic boosting tree
- classification systems
- target domain
- classification accuracy
- discriminative learning
- pairwise constraints
- classification models
- pattern classification
- learning tasks
- support vector machine
- feature vectors
- support vector
- reinforcement learning