Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification.
Kaan DemirBach Hoai NguyenBing XueMengjie ZhangPublished in: ICDM (Workshops) (2021)
Keyphrases
- multi objective
- multi label classification
- objective function
- feature selection
- text categorization
- multi label
- optimal solution
- text classification
- multi class
- genetic algorithm
- semi supervised learning
- classification algorithm
- evolutionary algorithm
- high dimensional
- binary classification
- binary classifiers
- lower bound
- feature space
- machine learning
- semi supervised
- feature set
- simulated annealing
- tabu search
- support vector machine
- image annotation
- classification accuracy
- naive bayes
- image classification
- knn
- high dimensionality
- feature extraction
- graph cuts
- support vector
- dimensionality reduction
- image segmentation
- transfer learning
- learning tasks
- multi modal
- meta level
- active learning
- image retrieval