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Artificial Neural Networks and Machine Learning – ICANN 2011
by Honkela, Timo.
Authors: Duch, Włodzisław.%editor. | Girolami, Mark.%editor. | Kaski, Samuel.%editor. | SpringerLink (Online service) Series: Lecture Notes in Computer Science, 0302-9743 ; . 6792 Physical details: XXII, 474 p. online resource. ISBN: 3642217389 Subject(s): Computer science. | Computer software. | Information systems. | Artificial intelligence. | Computer vision. | Optical pattern recognition. | Computer Science. | Artificial Intelligence (incl. Robotics). | Computation by Abstract Devices. | Algorithm Analysis and Problem Complexity. | Pattern Recognition. | Information Systems Applications (incl.Internet). | Image Processing and Computer Vision.Online Resources:
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| Item type | Location | Call Number | Status | Date Due |
|---|---|---|---|---|
 E-Book |
AUM Main Library | 006.3 (Browse Shelf) | Not for loan |
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.
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