A Bayesian network correlation-based classifier chain algorithm for multilabel learning.
Hao ZhangKai-Biao LinWei WengJuan WenChin-Ling ChenPublished in: Int. J. Comput. Sci. Eng. (2022)
Keyphrases
- learning algorithm
- classification algorithm
- graph cuts
- multi label
- bayesian networks
- probabilistic model
- learning process
- training set
- reinforcement learning
- training data
- training process
- active learning
- supervised learning
- expectation maximization
- semi supervised learning
- training examples
- globally optimal
- inductive learning
- multi label classification
- data sets
- multilabel classification
- graphical models
- multi class
- prior knowledge
- feature space
- feature selection
- computer vision