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Artificial Neural Networks and Machine Learning – ICANN 2016 [electronic resource] :25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II /

Contributor(s): Villa, Alessandro E.P [editor.] | Masulli, Paolo [editor.] | Pons Rivero, Antonio Javier [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 9887Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016.Description: XXIX, 557 p. 173 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319447810.Subject(s): Computer science | Computers | Algorithms | Artificial intelligence | Image processing | 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 VisionOnline resources: Click here to access online
Contents:
Deep Learning -- Classification and Forecasting -- Recognition and Navigation.
In: Springer eBooksSummary: 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. .
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Deep Learning -- Classification and Forecasting -- Recognition and Navigation.

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. .

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