Confidence Evaluation for Machine Learning Schemes in Vehicular Sensor Networks-Reference-Cited by-同舟云学术

Confidence Evaluation for Machine Learning Schemes in Vehicular Sensor Networks

Author:

Zheng Xinhu¹^ORCID,Li Sijiang²,Li Yuru²,Duan Dongliang³^ORCID,Yang Liuqing⁴^ORCID,Cheng Xiang²^ORCID

Affiliation:

1. Intelligent Transportation Thrust, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

2. State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China

3. Department of Electrical and Computer Engineering, University of Wyoming, Laramie, WY, USA

4. Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, China

Funder

Ministry of National Key Research and Development Project

National Natural Science Foundation of China

Guangdong Key Research and Development Project

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

Reference48 articles.

1. Formal guarantees on the robustness of a classifier against adversarial manipulation;hein;arXiv 1705 08475,2017

4. Variational Bayesian inference with stochastic search;paisley;arXiv 1206 6430,2012

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