Neural Information Processing 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II / [electronic resource] :
edited by Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King.
- 1st ed. 2020.
- XXVI, 823 p. 483 illus., 254 illus. in color. online resource.
- Theoretical Computer Science and General Issues, 12533 2512-2029 ; .
- Theoretical Computer Science and General Issues, 12533 .
The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 12533, is organized in topical sections on computational intelligence; machine learning; robotics and control.
9783030638337
10.1007/978-3-030-63833-7 doi
Pattern recognition systems.
Machine learning.
Application software.
Social sciences--Data processing.
Automated Pattern Recognition.
Machine Learning.
Computer and Information Systems Applications.
Computer Application in Social and Behavioral Sciences.
Q337.5 TK7882.P3
006.4
The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 12533, is organized in topical sections on computational intelligence; machine learning; robotics and control.
9783030638337
10.1007/978-3-030-63833-7 doi
Pattern recognition systems.
Machine learning.
Application software.
Social sciences--Data processing.
Automated Pattern Recognition.
Machine Learning.
Computer and Information Systems Applications.
Computer Application in Social and Behavioral Sciences.
Q337.5 TK7882.P3
006.4