Improving Automatic Query Classification via Semi-Supervised Learning.
Steven M. BeitzelEric C. JensenOphir FriederDavid D. LewisAbdur ChowdhuryAleksander KolczPublished in: ICDM (2005)
Keyphrases
- semi supervised learning
- supervised learning
- improve the classification accuracy
- semi supervised classification
- semi supervised
- unsupervised learning
- co training
- unlabeled data
- transductive support vector machine
- semi supervised learning algorithms
- labeled and unlabeled data
- machine learning
- uci datasets
- labeled data
- manifold regularization
- active learning
- unlabeled samples
- class labels
- training data
- classification accuracy
- text categorization
- text classification
- supervised learning algorithms
- pattern recognition
- label propagation
- decision trees
- supervised classification
- instance selection
- training set
- semi supervised learning methods
- support vector
- incremental learning
- labeled examples
- graph based semi supervised learning
- labeled instances
- machine learning algorithms
- label information
- pairwise constraints
- decision boundary
- training samples
- model selection
- image classification
- support vector machine
- prior knowledge
- feature extraction
- e learning