Semi-supervised sparse feature selection via graph Laplacian based scatter matrix for regression problems.
Razieh SheikhpourMehdi Agha SarramElnaz SheikhpourPublished in: Inf. Sci. (2018)
Keyphrases
- semi supervised
- feature selection
- labeled and unlabeled data
- semi supervised learning
- unlabeled data
- labeled data
- text classification
- unsupervised learning
- text categorization
- supervised learning
- cross validation
- pairwise
- model selection
- high dimensional
- spectral clustering
- dimensionality reduction
- multi task
- linear discriminant analysis
- feature set
- active learning
- hyperparameters
- euclidean space
- machine learning
- feature extraction
- sparse coding
- sparse representation
- multi class
- feature space
- support vector
- learning tasks
- input space
- classification accuracy
- class labels
- support vector machine
- dimension reduction
- knn
- feature subset
- prior knowledge