A Survey on Sparse Learning Models for Feature Selection.
Xiaoping LiYadi WangRubén RuizPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- learning models
- feature selection
- feature selection algorithms
- classification models
- machine learning
- sparse metric learning
- loss function
- learning algorithm
- text categorization
- machine learning algorithms
- learning tasks
- learning problems
- semi supervised learning
- feature set
- support vector
- conditional random fields
- classification accuracy
- group sparsity
- text classification
- dimension reduction
- knn
- decision trees
- sparse representation
- multi task
- image segmentation
- model selection
- dimensionality reduction
- training data
- feature extraction
- dictionary learning
- support vector machine
- high dimensional