Feature Selection in Multi-label Classification based on Binary Quantum Gravitational Search Algorithm.
Hojat NoormohammadiMohammad Bagher DowlatshahiPublished in: CSICC (2021)
Keyphrases
- multi label classification
- gravitational search algorithm
- feature selection
- binary classifiers
- text categorization
- multi label
- multi class
- multi objective
- stability analysis
- swarm intelligence
- text classification
- parameter identification
- optimization methods
- binary classification
- semi supervised learning
- image annotation
- support vector machine
- evolutionary algorithm
- classification algorithm
- k nearest neighbor
- convergence rate
- multi class classification
- feature set
- semi supervised
- naive bayes
- learning tasks
- support vector
- feature space
- feature subset
- neural network
- unsupervised learning
- graph cuts
- knn
- classification accuracy
- image understanding
- cross validation
- hyperplane
- training samples
- meta level
- model selection
- text mining
- image retrieval