Random Fourier Features Based Kernel Risk Sensitive Loss Algorithm with Adaptive Moment Estimation Optimization Technology
Author:
Affiliation:
1. College of Electronic and Information Engineering, Southwest University, China and the Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, Southwest University, China
Funder
Fundamental Research Funds for the Central Universities
National Nature Science Foundation of China
National Natural Science Foundation of Chongqing
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3529570.3529574
Reference19 articles.
1. The Kernel Least-Mean-Square Algorithm
2. The Kernel Recursive Least-Squares Algorithm
3. Online Prediction of Time Series Data With Kernels
4. Dennis DeCoste and Dominic Mazzoni 2003. Fast query-optimized kernel machine classfication via incremental approximate nearest support vectors. 2003 in IEEE International Conference on Machine learning (ICML) 115-122. Dennis DeCoste and Dominic Mazzoni 2003. Fast query-optimized kernel machine classfication via incremental approximate nearest support vectors. 2003 in IEEE International Conference on Machine learning (ICML) 115-122.
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