Semi-supervised relevance index for feature selection.
Frederico CoelhoCristiano Leite CastroAntônio P. BragaMichel VerleysenPublished in: Neural Comput. Appl. (2019)
Keyphrases
- semi supervised
- feature selection
- unsupervised learning
- semi supervised learning
- feature relevance
- text categorization
- active learning
- multi class
- minimum redundancy
- feature subset
- unlabeled data
- labeled data
- multi view
- mutual information
- supervised learning
- discriminative features
- feature selection algorithms
- feature extraction
- dimensionality reduction
- semi supervised clustering
- semi supervised classification
- machine learning
- dimension reduction
- index structure
- feature set
- text classification
- information retrieval
- naive bayes
- data sets
- supervised and unsupervised learning
- constrained clustering
- irrelevant features
- information gain
- relevance feedback
- feature weighting
- database
- support vector
- labeled and unlabeled data
- subspace learning
- inverted index
- co training
- support vector machine
- ranked list
- model selection
- b tree
- knn
- classification accuracy