Screen LibraryNeural information processing : 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings. Part II /
The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submiss...
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| Corporate Authors: | |
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| Group Author: | |
| Published: |
Springer,
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| Publisher Address: | Cham, Switzerland : |
| Publication Dates: | [2016] |
| Literature type: | Book |
| Language: | English |
| Series: |
Lecture notes in computer science,
9948 LNCS sublibrary. SL 1, Theoretical computer science and general issues |
| Subjects: | |
| Summary: |
The four volume set LNCS 9947, LNCS 9948, LNCS 9949, and LNCS 9950 constitues the proceedings of the 23rd International Conference on Neural Information Processing, ICONIP 2016, held in Kyoto, Japan, in October 2016. The 296 full papers presented were carefully reviewed and selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data analysis; robotics and control; bio-inspired/energy efficient information processing; whole brain architecture; neurodynamics; bioinformatics; biomedical engineering; data minin |
| Carrier Form: | xix, 739 pages : illustrations ; 25 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9783319466712 3319466712 9783319466729 3319466720 |
| Index Number: | Q337 |
| CLC: | TP18-532 |
| Call Number: | TP18-532/I613/2016/pt.2 |
| Contents: | Deep and reinforcement learning -- Big data analysis -- Neural data analysis.-Robotics and control -- Bio-inspired/energy efficient information processing.-Whole brain architecture -- Neurodynamics -- Bioinformatics -- Biomedical engineering -- Data mining and cybersecurity workshop -- Machine learning.-Neuromorphic hardware -- Sensory perception -- Pattern recognition -- Social networks -- Brain-machine interface -- Computer vision -- Time series analysis.-Data-driven approach for extracting latent features -- Topological and graph based clustering methods -- Computational intelligence -- D |