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Neural Information Processing : 14th International Confernce, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I / edited by Masumi Ishikawa, Kenji Doya, Hiroyuki Miyamoto, Takeshi Yamakawa.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 4984.
- Theoretical Computer Science and General Issues ; 4984
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computers.
- Pattern perception.
- Application software.
- Database management.
- Optical data processing.
- Artificial Intelligence.
- Computation by Abstract Devices.
- Pattern Recognition.
- Information Systems Applications (incl. Internet).
- Database Management.
- Image Processing and Computer Vision.
- Local Subjects:
- Artificial Intelligence.
- Computation by Abstract Devices.
- Pattern Recognition.
- Information Systems Applications (incl. Internet).
- Database Management.
- Image Processing and Computer Vision.
- Physical Description:
- 1 online resource (XXX, 1147 pages).
- Edition:
- First edition 2008.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
- System Details:
- text file PDF
- Summary:
- The two volume set LNCS 4984 and LNCS 4985 constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Neural Information Processing, ICONIP 2007, held in Kitakyushu, Japan, in November 2007, jointly with BRAINIT 2007, the 4th International Conference on Brain-Inspired Information Technology. The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
- Contents:
- Computational Neuroscience
- Learning and Memory
- Neural Network Models
- Supervised/Unsupervised/Reinforcement Learning
- Statistical Learning Algorithms
- Optimization Algorithms
- Novel Algorithms
- Motor Control and Vision.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-540-69158-7
- 9783540691587
- Access Restriction:
- Restricted for use by site license.
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