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....

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Bibliographic Details

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:	Bayesian optimization Gaussian process hyperparameter optimization machine learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S1674862X19300047