Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction.
Jieyue HeRobert W. HarrisonPhang C. TaiYi PanPublished in: BIBE (2009)
Keyphrases
- unlabeled data
- labeled data
- semi supervised learning
- number of labeled examples
- labeled training data
- supervised learning
- training set
- data points
- training examples
- semi supervised
- labeled data for training
- labeled examples
- active learning
- co training
- labeled and unlabeled data
- training data
- semi supervised classification
- text classification
- prediction accuracy
- labeled instances
- text categorization
- training and test data
- class labels
- learning algorithm
- supervised learning algorithms
- domain adaptation
- unlabeled training data
- unsupervised learning
- prior knowledge
- transfer learning
- small set of labeled
- semi supervised clustering
- label propagation
- positive examples
- training process
- labeling effort
- pairwise constraints
- decision boundary
- target domain
- constrained clustering
- machine learning
- training samples
- small number
- high dimensional
- clustering algorithm
- information retrieval