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1
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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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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3
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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4
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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5
Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique
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Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique

Xu, Bin ; Yang, Chenguang ; Shi, Zhongke

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.635-641

New York, NY: IEEE

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6
Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks
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Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks

Modares, Hamidreza ; Lewis, Frank L. ; Naghibi-Sistani, Mohammad-Bagher

IEEE transaction on neural networks and learning systems, 2013-10, Vol.24 (10), p.1513-1525

New York, NY: IEEE

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7
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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8
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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9
Distributed Neural Network Control for Adaptive Synchronization of Uncertain Dynamical Multiagent Systems
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Distributed Neural Network Control for Adaptive Synchronization of Uncertain Dynamical Multiagent Systems

Peng, Zhouhua ; Wang, Dan ; Zhang, Hongwei ; Sun, Gang

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1508-1519

New York, NY: IEEE

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10
Observer-Based Adaptive Neural Network Control for Nonlinear Stochastic Systems With Time Delay
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Observer-Based Adaptive Neural Network Control for Nonlinear Stochastic Systems With Time Delay

Zhou, Qi ; Shi, Peng ; Xu, Shengyuan ; Li, Hongyi

IEEE transaction on neural networks and learning systems, 2013-01, Vol.24 (1), p.71-80

New York, NY: IEEE

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