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 / edited by Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero.
Material type: TextSeries: Theoretical Computer Science and General Issues ; 9887 | Lecture Notes in Computer Science ; 9887Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016Description: XXIX, 557 p. 173 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319447810Subject(s): Artificial intelligence | Computers | Algorithms | Pattern recognition | 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 VisionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 LOC classification: Q334-342Online resources: Click here to access onlineCurrent library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
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IMSc Library | IMSc Library | Link to resource | Available | EBK15428 |
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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