Artificial Neural Networks and Machine Learning - ICANN 2014 [electronic resource] : 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings / edited by Stefan Wermter, Cornelius Weber, Włodzisław Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Alessandro E. P. Villa.
Material type:
TextLanguage: English Series: Lecture Notes in Computer Science ; 8681Publication details: Cham : Springer International Publishing, 2014.Description: 1 online resource (XXV, 852 p. 338 ill.)ISBN: - 9783319111797
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National Library of India | Available | EBK000024926ENG |
Recurrent Networks -- Sequence Learning -- Echo State Networks -- Recurrent Network Theory -- Competitive Learning and Self-Organisation.- Clustering and Classification -- Trees and Graphs -- Human-Machine Interaction -- Deep Networks.- Theory -- Optimization -- Layered Networks -- Reinforcement Learning and Action -- Vision -- Detection and Recognition -- Invariances and Shape Recovery -- Attention and Pose Estimation -- Supervised Learning -- Ensembles -- Regression -- Classification -- Dynamical Models and Time Series -- Neuroscience -- Cortical Models -- Line Attractors and Neural Fields -- Spiking and Single Cell Models -- Applications -- Users and Social Technologies -- Demonstrations.
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