Hierarchical Semantic Risk Minimization for Large-Scale Classification.
Yu WangZhou WangQinghua HuYucan ZhouHonglei SuPublished in: IEEE Trans. Cybern. (2022)
Keyphrases
- risk minimization
- multi category
- hierarchical classification
- feature extraction
- text classification
- loss function
- feature vectors
- hinge loss
- decision trees
- image classification
- machine learning
- classification accuracy
- support vector
- semantic information
- class labels
- data mining
- support vector machine svm
- learning environment
- model selection
- cross validation
- generalization ability
- objective function
- supervised learning
- uniform convergence
- support vector machine
- lower bound