Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification.
Zhen-Xin NiuCui-Na JiaoLiang-Rui RenRong ZhuJuan WangJin-Xing LiuPublished in: Appl. Intell. (2022)
Keyphrases
- semi supervised
- risk sensitive
- extreme learning machine
- supervised learning
- feature space
- support vector
- feedforward neural networks
- gaussian processes
- machine learning
- semi supervised learning
- labeled data
- feature vectors
- support vector machine
- text classification
- labeled and unlabeled data
- feature extraction
- utility function
- support vector regression
- neural network
- feature selection
- class labels
- optimal control
- cross validation
- feed forward neural networks
- multiple kernel learning
- training set
- kernel function
- support vector machine svm
- linear combination
- unlabeled data
- pairwise
- feature set