Neural Information Processing [electronic resource] : 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part III / edited by Long Cheng, Andrew Chi Sing Leung, Seiichi Ozawa.
Contributor(s): Cheng, Long [editor.]
| Leung, Andrew Chi Sing [editor.] | Ozawa, Seiichi [editor.] | SpringerLink (Online service).
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BookSeries: Theoretical Computer Science and General Issues: 11303Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XXI, 687 p. 404 illus., 141 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030041823.Subject(s): Pattern recognition systems | Artificial intelligence | Data mining | Computer vision | Software engineering | User interfaces (Computer systems) | Human-computer interaction | Automated Pattern Recognition | Artificial Intelligence | Data Mining and Knowledge Discovery | Computer Vision | Software Engineering | User Interfaces and Human Computer InteractionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.4 Online resources: Click here to access online
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Springer Nature eBookSummary: The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 11303, is organized in topical sections on embedded learning, transfer learning, reinforcement learning, and other learning approaches.
The seven-volume set of LNCS 11301-11307, constitutes the proceedings of the 25th International Conference on Neural Information Processing, ICONIP 2018, held in Siem Reap, Cambodia, in December 2018. The 401 full papers presented were carefully reviewed and selected from 575 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The third volume, LNCS 11303, is organized in topical sections on embedded learning, transfer learning, reinforcement learning, and other learning approaches.
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