Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification.
Liang-Rui RenJin-Xing LiuYing-Lian GaoXiang-Zhen KongChun-Hou ZhengPublished in: Knowl. Based Syst. (2021)
Keyphrases
- semi supervised
- risk sensitive
- extreme learning machine
- supervised learning
- support vector
- hyper graph
- feature space
- text classification
- utility function
- support vector machine svm
- neural network
- feature extraction
- optimal control
- support vector machine
- random walk
- semi supervised learning
- feature vectors
- multiple kernel learning
- dimension reduction
- learning algorithm
- training set
- labeled and unlabeled data
- gaussian processes
- support vector regression
- kernel methods
- search space
- active learning
- control system
- least squares