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Overcoming the Internet impasse through virtualization
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Overcoming the Internet impasse through virtualization

Anderson, T. ; Peterson, L. ; Shenker, S. ; Turner, J.

Computer (Long Beach, Calif.), 2005-04, Vol.38 (4), p.34-41 [Peer Reviewed Journal]

New York, NY: IEEE

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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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Feature Learning for Image Classification Via Multiobjective Genetic Programming
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Feature Learning for Image Classification Via Multiobjective Genetic Programming

Shao, Ling ; Liu, Li ; Li, Xuelong

IEEE transaction on neural networks and learning systems, 2014-07, Vol.25 (7), p.1359-1371

New York, NY: IEEE

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Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness
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Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness

Yang, Yimin ; Wang, Yaonan ; Yuan, Xiaofang

IEEE transaction on neural networks and learning systems, 2012-09, Vol.23 (9), p.1498-1505

New York, NY: IEEE

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5
Classification in the Presence of Label Noise: A Survey
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Classification in the Presence of Label Noise: A Survey

Frenay, Benoit ; Verleysen, Michel

IEEE transaction on neural networks and learning systems, 2014-05, Vol.25 (5), p.845-869

New York, NY: IEEE

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6
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
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A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

Zhang, Huaguang ; Wang, Zhanshan ; Liu, Derong

IEEE transaction on neural networks and learning systems, 2014-07, Vol.25 (7), p.1229-1262

New York, NY: IEEE

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Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks
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Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks

Chen, C. L. Philip ; Guo-Xing Wen ; Yan-Jun Liu ; Fei-Yue Wang

IEEE transaction on neural networks and learning systems, 2014-06, Vol.25 (6), p.1217-1226

New York, NY: IEEE

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Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems
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Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems

Liu, Derong ; Wei, Qinglai

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.621-634

New York, NY: IEEE

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High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines
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High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines

Le Ly, Daniel ; Chow, Paul

IEEE transaction on neural networks and learning systems, 2010-11, Vol.21 (11), p.1780-1792

New York, NY: IEEE

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Universal Computation by Multiparticle Quantum Walk
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Universal Computation by Multiparticle Quantum Walk

Childs, Andrew M. ; Gosset, David ; Webb, Zak

Science (American Association for the Advancement of Science), 2013-02, Vol.339 (6121), p.791-794 [Peer Reviewed Journal]

Washington, DC: American Association for the Advancement of Science

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