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Refinado por: colección: Engineered Materials Abstracts eliminar
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1
Classification in the Presence of Label Noise: A Survey
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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2
Extreme Learning Machine for Multilayer Perceptron
Extreme Learning Machine for Multilayer Perceptron
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Extreme Learning Machine for Multilayer Perceptron

Tang, Jiexiong ; Deng, Chenwei ; Huang, Guang-Bin

IEEE transaction on neural networks and learning systems, 2016-04, Vol.27 (4), p.809-821

United States: IEEE

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3
Evaluating the Visualization of What a Deep Neural Network Has Learned
Evaluating the Visualization of What a Deep Neural Network Has Learned
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Evaluating the Visualization of What a Deep Neural Network Has Learned

Samek, Wojciech ; Binder, Alexander ; Montavon, Gregoire ; Lapuschkin, Sebastian ; Muller, Klaus-Robert

IEEE transaction on neural networks and learning systems, 2017-11, Vol.28 (11), p.2660-2673

United States: IEEE

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4
Optimal and Autonomous Control Using Reinforcement Learning: A Survey
Optimal and Autonomous Control Using Reinforcement Learning: A Survey
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Optimal and Autonomous Control Using Reinforcement Learning: A Survey

Kiumarsi, Bahare ; Vamvoudakis, Kyriakos G. ; Modares, Hamidreza ; Lewis, Frank L.

IEEE transaction on neural networks and learning systems, 2018-06, Vol.29 (6), p.2042-2062

United States: IEEE

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5
Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering
Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering
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Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering

Yu, Zhou ; Yu, Jun ; Xiang, Chenchao ; Fan, Jianping ; Tao, Dacheng

IEEE transaction on neural networks and learning systems, 2018-12, Vol.29 (12), p.5947-5959

United States: IEEE

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6
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
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Modulation Classification Based on Signal Constellation Diagrams and Deep Learning

Peng, Shengliang ; Jiang, Hanyu ; Wang, Huaxia ; Alwageed, Hathal ; Zhou, Yu ; Sebdani, Marjan Mazrouei ; Yao, Yu-Dong

IEEE transaction on neural networks and learning systems, 2019-03, Vol.30 (3), p.718-727

United States: IEEE

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7
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
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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8
Output Reachable Set Estimation and Verification for Multilayer Neural Networks
Output Reachable Set Estimation and Verification for Multilayer Neural Networks
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Output Reachable Set Estimation and Verification for Multilayer Neural Networks

Xiang, Weiming ; Tran, Hoang-Dung ; Johnson, Taylor T.

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5777-5783

United States: IEEE

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9
Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning
Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning
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Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning

He, Wei ; Dong, Yiting

IEEE transaction on neural networks and learning systems, 2018-04, Vol.29 (4), p.1174-1186

United States: IEEE

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10
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
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Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

Chong Zhang ; Pin Lim ; Qin, A. K. ; Kay Chen Tan

IEEE transaction on neural networks and learning systems, 2017-10, Vol.28 (10), p.2306-2318

United States: IEEE

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