1 option
Neural Information Processing : 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part II / edited by Long Cheng, Andrew Chi Sing Leung, Seiichi Ozawa.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 11302
- Theoretical Computer Science and General Issues, 2512-2029 ; 11302
- Language:
- English
- Subjects (All):
- 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 Interaction.
- Local Subjects:
- Automated Pattern Recognition.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Computer Vision.
- Software Engineering.
- User Interfaces and Human Computer Interaction.
- Physical Description:
- 1 online resource (XXII, 735 pages) : 264 illustrations, 175 illustrations in color.
- Edition:
- 1st ed. 2018.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2018.
- System Details:
- text file PDF
- Summary:
- 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 second volume, LNCS 11302, is organized in topical sections on other neural network models, stability analysis, optimization, and supervised learning.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-04179-3
- 9783030041793
- Access Restriction:
- Restricted for use by site license.
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.