Improving classification performance using unlabeled data: Naive Bayesian case.
Chang-Hwan LeePublished in: Knowl. Based Syst. (2007)
Keyphrases
- unlabeled data
- semi supervised learning
- labeled data
- naive bayesian
- class labels
- labeled and unlabeled data
- co training
- semi supervised classification
- supervised learning
- semi supervised
- text classification
- training set
- naive bayesian classifier
- active learning
- training data
- classification accuracy
- data points
- unsupervised learning
- machine learning
- decision trees
- learning algorithm
- training examples
- feature space
- text categorization
- support vector
- decision boundary
- labeled instances
- feature vectors
- model selection
- incremental learning
- missing values
- data mining
- feature selection
- feature weighting
- reinforcement learning
- learning tasks
- training samples
- prior knowledge
- dimensionality reduction
- generative model