Neural networks

Results: 3500



#Item
911

Towards the Grounding of Abstract Words: A Neural Network Model for Cognitive Robots Francesca Stramandinoli, Angelo Cangelosi and Davide Marocco Abstract— In this paper, a model based on Artificial Neural Networks (AN

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Source URL: www.tech.plym.ac.uk

- Date: 2011-04-28 11:04:17
    912

    Proceedings of the 7th Conference on Nuclear and Particle Physics, 11-15 Nov. 2009, Sharm El-Sheikh, Egypt EFFICIENT SECOND ORDER ALGORITHMS FOR FUNCTION APPROXIMATION WITH NEURAL NETWORKS. APPLICATION TO SEXTIC POTENTIA

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    Source URL: www.physicsegypt.org

    - Date: 2010-12-18 13:57:36
      913

      Training Neural Networks with Stochastic Hessian-Free Optimization Ryan Kiros Department of Computing Science University of Alberta

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      Source URL: www.cs.toronto.edu

      - Date: 2013-12-26 23:00:44
        914

        Scaling-up Action Learning Neuro-controllers with GPUs Martin Peniak and Angelo Cangelosi Abstract— Neural networks have been used in many different robot motor-control experiments, however, so far the complexity of th

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        Source URL: www.poeticon.eu

        - Date: 2015-03-06 07:14:13
          915

          Convolutional networks Sebastian Seung Convolutional network •  Neural network with spatial organization –  every neuron has a location

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          Source URL: seunglab.org

          - Date: 2015-02-21 09:47:27
            916

            Application of Pretrained Deep Neural Networks to Large Vocabulary Speech Recognition Navdeep Jaitly 1 , Patrick Nguyen 2 , Andrew Senior 2 , Vincent Vanhoucke 2 1 Department of Computer Science, University of Toronto

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            Source URL: www.cs.toronto.edu

            - Date: 2013-08-04 21:31:06
              917

              ROBUST DIALOG STATE TRACKING USING DELEXICALISED RECURRENT NEURAL NETWORKS AND UNSUPERVISED ADAPTATION Matthew Henderson1 , Blaise Thomson2 and Steve Young1 1 Department of Engineering, University of Cambridge, UK

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              Source URL: mi.eng.cam.ac.uk

              - Date: 2014-07-28 10:09:41
                918

                DEEP CONVOLUTIONAL NEURAL NETWORKS FOR LVCSR Tara N. Sainath1 , Abdel-rahman Mohamed2 , Brian Kingsbury1 , Bhuvana Ramabhadran1 1 IBM T. J. Watson Research Center, Yorktown Heights, NY 10598, U.S.A. 2

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                Source URL: www.cs.toronto.edu

                - Date: 2013-08-07 18:14:29
                  919

                  Transport Research Arena 2014, Paris Evaluation of multilayer pavement viscoelastic properties from falling weight deflectometer using neural networks Gonzalez J.M.a, Carbonell J.M.a, van Bijsterveld W.b * a

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                  Source URL: tra2014.traconference.eu

                  Language: English - Date: 2015-01-12 10:35:34
                    920

                    On the Computational Power of Analog Neural Networks Bhaskar DasGupta∗ Department of Computer Science Rutgers University Camden, NJ 08102, USA

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                    Source URL: www.cs.uic.edu

                    Language: English - Date: 2005-07-27 18:56:36
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