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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.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 9887
- Theoretical Computer Science and General Issues, 2512-2029 ; 9887
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer science.
- Algorithms.
- Pattern recognition systems.
- Application software.
- Computer vision.
- Artificial Intelligence.
- Theory of Computation.
- Automated Pattern Recognition.
- Computer and Information Systems Applications.
- Computer Vision.
- Local Subjects:
- Artificial Intelligence.
- Theory of Computation.
- Algorithms.
- Automated Pattern Recognition.
- Computer and Information Systems Applications.
- Computer Vision.
- Physical Description:
- 1 online resource (XXIX, 557 pages) : 173 illustrations
- Edition:
- 1st ed. 2016.
- Contained In:
- Springer Nature eBook
- 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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