Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II

Medientyp: E-Book
Titel: Neural Information Processing : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23–27, 2020, Proceedings, Part II
Beteiligte: Yang, Haiqin [HerausgeberIn]; Pasupa, Kitsuchart [HerausgeberIn]; Leung, Andrew Chi-Sing [HerausgeberIn]; Kwok, James T. [HerausgeberIn]; Chan, Jonathan H. [HerausgeberIn]; King, Irwin [HerausgeberIn]
Erschienen: Cham: Springer International Publishing, 2020.
Cham: Imprint: Springer, 2020.
Erschienen in: Theoretical Computer Science and General Issues ; 12533
Springer eBook Collection
Ausgabe: 1st ed. 2020.
Umfang: 1 Online-Ressource(XXVI, 823 p. 483 illus., 254 illus. in color.)
Sprache: Englisch
DOI: 10.1007/978-3-030-63833-7
ISBN: 9783030638337
Identifikator:

Schlagwörter: Pattern recognition. ; Machine learning. ; Application software. ; Pattern recognition systems. ; Social sciences
Entstehung:
Anmerkungen:
Beschreibung: 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.

Neural Information Processing - [1st ed. 2020.]