Machine learning is better than human to satisfy decision by majority

Author:

Hirokawa Sachio1,Suzuki Takahiko1,Mine Tsunenori1

Affiliation:

1. Kyushu University, Fukuoka, Japan

Funder

JSPS KAKENHI

Publisher

ACM

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimation of Precedence Relations to Deal with Regional Complaint Reports;2021 IEEE International Conference on Agents (ICA);2021-12

2. Knowing When to Stop: Joint Heterogeneous Feature Selection and Classification;2020 54th Asilomar Conference on Signals, Systems, and Computers;2020-11-01

3. Automated Optimal Online Civil Issue Classification using Multiple Feature Sets;2019 53rd Asilomar Conference on Signals, Systems, and Computers;2019-11

4. How Machine Learning is Changing e-Government;Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance;2019-04-03

5. Is SVM+FS Better to Satisfy Decision by Majority?;Advances in Intelligent Systems and Computing;2018

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