Neural network

Results: 3284



#Item
851

RECURRENT NEURAL NETWORK LANGUAGE MODEL TRAINING WITH NOISE CONTRASTIVE ESTIMATION FOR SPEECH RECOGNITION X. Chen, X. Liu, M. J. F. Gales and P. C. Woodland University of Cambridge Engineering Dept, Trumpington St., Camb

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

- Date: 2015-03-02 09:42:21
    852

    LETTER Communicated by Steven Nowlan Neural Network Uncertainty Assessment Using Bayesian Statistics: A Remote Sensing Application

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    Source URL: www.lmd.jussieu.fr

    - Date: 2005-01-10 06:53:30
      853

      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
        854

        GLOBAL OPTIMISATION OF NEURAL NETWORK MODELS VIA SEQUENTIAL SAMPLING-IMPORTANCE RESAMPLING Jo˜ ao F.G. de Freitas Sue E. Johnson

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

        - Date: 2000-04-10 07:41:16
          855

          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
            856

            The Role of Artificial Neural Network Models in Developing a Regional Wastewater Reclamation Facility for Beaufort, SC, USA Paul A. Conradsa, Edwin A. Roehlb, William Martelloc, and Edward Saxond a

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            Source URL: www.iemss.org

            Language: English - Date: 2011-11-23 04:44:46
              857

              Signal and Information Processing Laboratory | www.isi.ee.ethz.ch Prof. Hans-Andrea Loeliger Signal Processing Likelihood filters can also be cascaded into a new sort of neural network that works naturally with multicha

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              Source URL: www.ee.ethz.ch

              Language: English - Date: 2015-06-25 14:28:35
                858

                A Spiking Neural Network for Illuminant-invariant Colour Discrimination Sivalogeswaran Ratnasingam and Antonio Robles-Kelly Abstract— In this paper, we propose a biologically inspired spiking neural network approach to

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                Source URL: users.cecs.anu.edu.au

                Language: English - Date: 2013-08-06 16:59:53
                  859

                  Deep Neural Network Approach for the Dialog State Tracking Challenge Matthew Henderson, Blaise Thomson and Steve Young Department of Engineering, University of Cambridge, U.K. {mh521, brmt2, sjy}@eng.cam.ac.uk

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

                  Language: English - Date: 2013-08-27 04:45:33
                    860

                    Article ID: WMC00632Evaluation of neural network performance in the protein secondary structure prediction problem

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                    Source URL: www.webmedcentral.com

                    Language: English - Date: 2011-12-22 05:24:25
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