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Artificial Neural Networks and Machine Learning - ICANN 2016 : 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II / edited by Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero.
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, 9887.
- Theoretical Computer Science and General Issues ; 9887
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computers.
- Algorithms.
- Pattern perception.
- Application software.
- Optical data processing.
- Artificial Intelligence.
- Computation by Abstract Devices.
- Algorithm Analysis and Problem Complexity.
- Pattern Recognition.
- Information Systems Applications (incl. Internet).
- Image Processing and Computer Vision.
- Local Subjects:
- Artificial Intelligence.
- Computation by Abstract Devices.
- Algorithm Analysis and Problem Complexity.
- Pattern Recognition.
- Information Systems Applications (incl. Internet).
- Image Processing and Computer Vision.
- Physical Description:
- 1 online resource (XXIX, 557 pages) : 173 illustrations.
- Edition:
- First edition 2016.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2016.
- System Details:
- text file PDF
- Summary:
- The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume. .
- Contents:
- Deep Learning
- Classification and Forecasting
- Recognition and Navigation.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-44781-0
- 9783319447810
- Access Restriction:
- Restricted for use by site license.
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