Building a New Classifier in an Ensemble Using Streaming Unlabeled Data.
Mehmed M. KantardzicJoung Woo RyuChamila WalgampayaPublished in: IEA/AIE (2) (2010)
Keyphrases
- unlabeled data
- ensemble learning
- training data
- training set
- labeled data
- labeled training data
- semi supervised learning
- co training
- labeled and unlabeled data
- semi supervised
- class labels
- learning algorithm
- unlabeled examples
- supervised learning
- active learning
- training examples
- sample selection bias
- semi supervised classification
- ensemble classifier
- text classification
- labeled examples
- text categorization
- supervised classifiers
- labeled instances
- semi supervised learning methods
- classifier ensemble
- machine learning
- base classifiers
- prior knowledge
- decision trees
- support vector machine
- accurate classifiers
- data points
- feature selection
- data streams
- decision boundary
- data sets
- unlabeled samples
- ensemble methods
- labeling effort
- training samples
- unsupervised learning
- support vector
- unlabeled instances
- class distribution
- transfer learning
- classification algorithm
- labeled data for training
- training documents
- positive examples
- learning tasks
- naive bayes
- multi view
- data mining