A novel binary many-objective feature selection algorithm for multi-label data classification.
Azam Asilian BidgoliHossein Ebrahimpour-KomlehShahryar RahnamayanPublished in: Int. J. Mach. Learn. Cybern. (2021)
Keyphrases
- multi label
- data sets
- image classification
- feature selection algorithms
- feature selection
- data analysis
- database
- training data
- cross validation
- irrelevant features
- multi label classification
- text categorization
- text classification
- classification accuracy
- decision trees
- training samples
- loss function
- class labels
- training set
- classification algorithm
- support vector
- learning tasks
- feature subset
- learning models
- training dataset
- information retrieval
- machine learning