Neural network

Results: 3284



#Item
31A Neural Network Approach to Context-Sensitive Generation of Conversational Responses Alessandro Sordoni 1∗† Michel Galley 2† Michael Auli 3∗ Chris Brockett 2

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses Alessandro Sordoni 1∗† Michel Galley 2† Michael Auli 3∗ Chris Brockett 2

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Source URL: www-etud.iro.umontreal.ca

Language: English - Date: 2015-05-31 02:42:13
    32Training a 3-node neural network is NP-complete

    Training a 3-node neural network is NP-complete

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    Source URL: people.csail.mit.edu

    Language: English - Date: 2018-07-13 22:03:43
      33Learning Deep Neural Network Policies with Continuous Memory States Marvin Zhang, Zoe McCarthy, Chelsea Finn, Sergey Levine, Pieter Abbeel Department of Electrical Engineering and Computer Science, UC Berkeley {zhangmarv

      Learning Deep Neural Network Policies with Continuous Memory States Marvin Zhang, Zoe McCarthy, Chelsea Finn, Sergey Levine, Pieter Abbeel Department of Electrical Engineering and Computer Science, UC Berkeley {zhangmarv

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      Source URL: www.thespermwhale.com

      Language: English - Date: 2015-11-25 22:12:00
        34Nonlinear Analysis: Modelling and Control, 2009, Vol. 14, No. 4, 435–461  Stability and Hopf-Bifurcation Analysis of Delayed BAM Neural Network under Dynamic Thresholds P. D. Gupta, N. C. Majee, A. B. Roy Department of

        Nonlinear Analysis: Modelling and Control, 2009, Vol. 14, No. 4, 435–461 Stability and Hopf-Bifurcation Analysis of Delayed BAM Neural Network under Dynamic Thresholds P. D. Gupta, N. C. Majee, A. B. Roy Department of

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        Source URL: www.lana.lt

        Language: English - Date: 2009-11-11 03:12:01
          35Neural Networks for Self-Learning Control Systems Derrick H. Nguyen and Bernard Widrow ABSTRACT: Neural networks can be used to solve highly nonlinear control problems. This paper shows how a neural network can

          Neural Networks for Self-Learning Control Systems Derrick H. Nguyen and Bernard Widrow ABSTRACT: Neural networks can be used to solve highly nonlinear control problems. This paper shows how a neural network can

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          Source URL: www-isl.stanford.edu

          Language: English - Date: 2008-03-07 20:39:09
            36The 2nd CHiME Workshop on Machine Listening in Multisource Environments  Vancouver, Canada, June 1st, 2013 RECURRENT NEURAL NETWORK FEATURE ENHANCEMENT: THE 2nd CHIME CHALLENGE

            The 2nd CHiME Workshop on Machine Listening in Multisource Environments Vancouver, Canada, June 1st, 2013 RECURRENT NEURAL NETWORK FEATURE ENHANCEMENT: THE 2nd CHIME CHALLENGE

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            Source URL: ai.stanford.edu

            Language: English - Date: 2013-06-04 16:17:22
              37Gated Two-Stage Convolutional Neural Network for Ischemic Stroke Lesion Segmentation Jee-Seok Yoon1 , Eun-Song Kang2 , and Heung-Il Suk2,? 1 2

              Gated Two-Stage Convolutional Neural Network for Ischemic Stroke Lesion Segmentation Jee-Seok Yoon1 , Eun-Song Kang2 , and Heung-Il Suk2,? 1 2

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              Source URL: www.isles-challenge.org

              Language: English - Date: 2017-11-24 09:56:12
                38LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos Arjun Sharma Xerox Research Centre India

                LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos Arjun Sharma Xerox Research Centre India

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                Source URL: www.educationaldatamining.org

                Language: English - Date: 2016-06-28 23:11:46
                  39HKU CS Tech Report TRDCN: Detector-Corrector Network Against Evasion Attacks on Deep Neural Networks Jing Wen

                  HKU CS Tech Report TRDCN: Detector-Corrector Network Against Evasion Attacks on Deep Neural Networks Jing Wen

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                  Source URL: www.cs.hku.hk

                  Language: English - Date: 2018-05-24 03:37:41
                    40JCAMECH Vol. 49, No. 1, June 2018, pp 9-17 DOI: jcamechModeling SMA actuated systems based on Bouc-Wen hysteresis model and feed-forward neural network

                    JCAMECH Vol. 49, No. 1, June 2018, pp 9-17 DOI: jcamechModeling SMA actuated systems based on Bouc-Wen hysteresis model and feed-forward neural network

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                    Source URL: jcamech.ut.ac.ir

                    Language: English - Date: 2018-08-15 06:19:26