Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimizationb
Hyperparameters are important for machine learning algorithms since they directly control the behaviors of training algorithms and have a significant effect on the performance of machine learning models. Several techniques have been developed and successfully applied for certain application domains....
| Published in: | Journal of Electronic Science and Technology |
|---|---|
| Main Authors: | Jia Wu, Xiu-Yun Chen, Hao Zhang, Li-Dong Xiong, Hang Lei, Si-Hao Deng |
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2019-03-01
|
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1674862X19300047 |
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