Semi-supervised logistic discrimination via labeled data and unlabeled data from different sampling distributions.
Shuichi KawanoPublished in: Stat. Anal. Data Min. (2013)
Keyphrases
- labeled data
- unlabeled data
- semi supervised
- semi supervised learning
- training and test data
- labeled and unlabeled data
- active learning
- semi supervised classification
- co training
- supervised learning
- labeled examples
- transfer learning
- labeled training data
- pairwise
- random sampling
- class labels
- label propagation
- unsupervised learning
- text categorization
- training examples
- domain adaptation
- semi supervised learning methods
- pairwise constraints
- abundant unlabeled data
- number of labeled examples
- training data
- metric learning
- data sets
- fully supervised
- supervised learning algorithms
- text classification
- label information
- class distribution
- learning algorithm
- semi supervised learning algorithms
- unlabeled examples
- semi supervised clustering
- multi view
- feature selection
- labeling process
- prior knowledge
- positive examples
- learning tasks
- multi view learning
- high dimensional
- labeled instances
- semisupervised learning
- information retrieval
- data points