Neural networks

Results: 3500



#Item
31Emergence of Scale-free Graphs in Dynamical Spiking Neural Networks (paperFilip Piękniewski, m.sc, PhD student at Faculty of Mathematics and Computer Science Nicolaus Copernicus University, Poland Degree histogra

Emergence of Scale-free Graphs in Dynamical Spiking Neural Networks (paperFilip Piękniewski, m.sc, PhD student at Faculty of Mathematics and Computer Science Nicolaus Copernicus University, Poland Degree histogra

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Source URL: filip.piekniewski.info

Language: English - Date: 2013-12-08 19:00:00
    32Genetic Algorithms and Neural Networks: A Comparison Based on the Repeated Prisoner’s Dilemma Robert E. Marks,1 AGSM, UNSW, Sydney, NSW 2052

    Genetic Algorithms and Neural Networks: A Comparison Based on the Repeated Prisoner’s Dilemma Robert E. Marks,1 AGSM, UNSW, Sydney, NSW 2052

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    Source URL: www.agsm.edu.au

    Language: English - Date: 1998-06-15 03:41:06
      33Journal of Machine Learning ResearchSubmitted 12/07; Revised 9/08; Published 1/09 Exploring Strategies for Training Deep Neural Networks Hugo Larochelle

      Journal of Machine Learning ResearchSubmitted 12/07; Revised 9/08; Published 1/09 Exploring Strategies for Training Deep Neural Networks Hugo Larochelle

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      Source URL: info.usherbrooke.ca

      Language: English - Date: 2011-08-01 11:07:13
        34Deep Neural Networks as Gaussian Processes  Jaehoon Lee∗† , Yasaman Bahri∗† , Roman Novak , Samuel S. Schoenholz, Jeffrey Pennington, Jascha Sohl-Dickstein Google Brain {jaehlee, yasamanb, romann, schsam, jpennin

        Deep Neural Networks as Gaussian Processes Jaehoon Lee∗† , Yasaman Bahri∗† , Roman Novak , Samuel S. Schoenholz, Jeffrey Pennington, Jascha Sohl-Dickstein Google Brain {jaehlee, yasamanb, romann, schsam, jpennin

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        Source URL: bayesiandeeplearning.org

        Language: English - Date: 2017-12-05 15:02:28
          35Domain Adaptation for Neural Networks by Parameter Augmentation Yusuke Watanabe SONYKonan Minato-ku, Tokyo, Japan

          Domain Adaptation for Neural Networks by Parameter Augmentation Yusuke Watanabe SONYKonan Minato-ku, Tokyo, Japan

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          Source URL: aclweb.org

          Language: English - Date: 2016-08-01 10:43:09
            36Compressing Deep Neural Networks with Probabilistic Data Structures Brandon Reagen Udit Gupta

            Compressing Deep Neural Networks with Probabilistic Data Structures Brandon Reagen Udit Gupta

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            Source URL: www.sysml.cc

            Language: English - Date: 2018-08-15 23:55:00
              3730 Using Neural Networks to Control Agent Threat Response Michael Robbins  30.1	 Introduction

              30 Using Neural Networks to Control Agent Threat Response Michael Robbins 30.1 Introduction

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              Source URL: www.gameaipro.com

              Language: English - Date: 2016-03-13 03:48:14
                38Detection and Classification of Refrigeration Units in a Commercial Environment: Comparing Neural Networks to Unsupervised Clustering J´erˆome Van Zaen, Christopher Moufawad El Achkar, Rafael E. Carrillo, and Andreas H

                Detection and Classification of Refrigeration Units in a Commercial Environment: Comparing Neural Networks to Unsupervised Clustering J´erˆome Van Zaen, Christopher Moufawad El Achkar, Rafael E. Carrillo, and Andreas H

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                Source URL: nilmworkshop.org

                Language: English - Date: 2018-04-30 17:14:56
                  392014 IEEE World Congress on Computational Intelligence International Joint Conference on Neural Networks (IJCNN) July 6-11, Beijing, China International Workshop Advances in Learning from/with Multiple Learners (A

                  2014 IEEE World Congress on Computational Intelligence International Joint Conference on Neural Networks (IJCNN) July 6-11, Beijing, China International Workshop Advances in Learning from/with Multiple Learners (A

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                  Source URL: www.conference123.org

                  Language: English - Date: 2014-07-16 23:16:38