An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification.
Zhi-Yuan LiYing-Lian GaoZhen-Xin NiuSha-Sha YuanChun-Hou ZhengJin-Xing LiuPublished in: BIBM (2022)
Keyphrases
- risk sensitive
- extreme learning machine
- support vector
- feature space
- gaussian processes
- feature selection
- optimal control
- support vector machine svm
- support vector regression
- cross validation
- class labels
- model selection
- support vector machine
- feature vectors
- machine learning
- neural network
- kernel methods
- control system
- feed forward neural networks
- artificial neural networks