A multi-instance multi-label learning algorithm based on radial basis functions and multi-objective particle swarm optimization.
Xiang BaoFei HanQing-Hua LingYan-Qiong RenPublished in: Intell. Data Anal. (2023)
Keyphrases
- multi instance
- radial basis function
- multi label
- learning algorithm
- learning tasks
- text categorization
- multi label classification
- single instance
- graph cuts
- binary classification
- basis functions
- image classification
- image annotation
- neural network
- support vector
- artificial neural networks
- class labels
- multi label learning
- text classification
- learning problems
- machine learning algorithms
- training data
- support vector machine
- machine learning
- semi supervised learning
- unlabeled data
- support vector machine svm
- supervised learning
- reinforcement learning
- real valued
- active learning
- generalization error
- data sets
- pattern recognition
- learning process
- training samples
- labeled data
- learning rate
- image processing
- feature selection
- multi class