On learning dual classifiers for better data classification.
Wei-Chao LinChih-Fong TsaiShih-Wen KeMon-Loon YouPublished in: Appl. Soft Comput. (2015)
Keyphrases
- data sets
- data analysis
- training data
- decision trees
- training samples
- learning process
- multi category
- labeled and unlabeled data
- supervised learning
- data sources
- prior knowledge
- class membership
- learned models
- classification rate
- classification algorithm
- classification accuracy
- classification trees
- bayesian methods
- supervised classification
- machine learning methods
- svm classifier
- machine learning algorithms
- training set
- background knowledge
- training examples
- missing values
- unlabeled data
- labeled data
- binary classifiers
- model selection
- learning algorithm
- semi supervised
- data points
- imbalanced data sets
- machine learning