An active learning paradigm based on a priori data reduction and organization.
Priscila T. M. SaitoPedro J. de RezendeAlexandre X. FalcãoCelso T. N. SuzukiJancarlo F. GomesPublished in: Expert Syst. Appl. (2014)
Keyphrases
- data reduction
- active learning
- data compression
- rough set theory
- model selection
- machine learning
- knowledge discovery
- data mining
- representative subset
- instance selection
- data analysis
- semi supervised
- preprocessing
- learning algorithm
- feature selection
- training examples
- classification rules
- singular value decomposition
- classification accuracy
- rough sets
- bayesian networks
- genetic algorithm
- data sets
- high dimensionality
- clustering algorithm
- unlabeled data
- semi supervised learning
- labeled data
- supervised learning