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Artificial Neural Networks and Machine Learning - ICANN 2011 : 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part II / edited by Timo Honkela, Włodzisław Duch, Mark Girolami, Samuel Kaski.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 6792
- Theoretical Computer Science and General Issues, 2512-2029 ; 6792
- 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 (XXII, 474 pages)
- Edition:
- 1st ed. 2011.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
- System Details:
- text file PDF
- Summary:
- This two volume set (LNCS 6791 and LNCS 6792) constitutes the refereed proceedings of the 21th International Conference on Artificial Neural Networks, ICANN 2011, held in Espoo, Finland, in June 2011. The 106 revised full or poster papers presented were carefully reviewed and selected from numerous submissions. ICANN 2011 had two basic tracks: brain-inspired computing and machine learning research, with strong cross-disciplinary interactions and applications.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-21738-8
- 9783642217388
- Access Restriction:
- Restricted for use by site license.
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