TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-030-04182-3
DO  - doi
AB  - 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.
T1  - Neural Information Processing :25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part III /
AU  - Cheng, Long.
AU  - Leung, Andrew Chi Sing.
AU  - Ozawa, Seiichi.
VL  - 11303
CN  - Q337.5
CN  - TK7882.P3
ID  - 857599
KW  - Optical pattern recognition.
KW  - Artificial intelligence.
KW  - Data mining.
KW  - Computer vision.
KW  - Software engineering.
KW  - Computer science.
SN  - 9783030041823
SN  - 3030041824
TI  - Neural Information Processing :25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018, Proceedings, Part III /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-04182-3
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-04182-3
ER  -