Semi-Supervised Fuzzy-Rough Feature Selection.
Richard JensenSarah VluymansNeil Mac ParthaláinChris CornelisYvan SaeysPublished in: RSFDGrC (2015)
Keyphrases
- semi supervised
- feature selection
- labeled data
- unsupervised learning
- semi supervised learning
- pairwise
- active learning
- text categorization
- unlabeled data
- semi supervised classification
- machine learning
- text classification
- feature space
- semi supervised clustering
- kernel learning
- supervised learning
- irrelevant features
- support vector
- supervised and unsupervised learning
- labeled examples
- high dimensionality
- pairwise constraints
- feature selection algorithms
- manifold learning
- multi view
- mutual information
- feature set
- dimensionality reduction
- support vector machine
- feature extraction
- discriminative features
- co training
- method for feature selection
- classification models
- microarray data
- metric learning
- labeled and unlabeled data
- clustering algorithm
- pair wise constraints
- manifold regularization
- training data
- high dimensional
- knn
- svm classifier
- small sample
- feature ranking
- gene expression data
- dimension reduction
- feature weighting
- selected features
- information gain
- multi task