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Novel Cascade FPGA Accelerator for Support Vector Machines Classification
Novel Cascade FPGA Accelerator for Support Vector Machines Classification
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Novel Cascade FPGA Accelerator for Support Vector Machines Classification

Papadonikolakis, M. ; Bouganis, C.

IEEE transaction on neural networks and learning systems, 2012-07, Vol.23 (7), p.1040-1052

New York, NY: IEEE

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Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness
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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3
An IP-ERN architecture to enable hybrid E2E/ERN protocol and application to satellite networking
An IP-ERN architecture to enable hybrid E2E/ERN protocol and application to satellite networking
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An IP-ERN architecture to enable hybrid E2E/ERN protocol and application to satellite networking

Lopez Pacheco, Dino Martin ; Thai, Tuan Tran ; Lochin, Emmanuel ; Arnal, Fabrice

Computer networks (Amsterdam, Netherlands : 1999), 2012-07, Vol.56 (11), p.2700-2713 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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4
Twenty Years of Mixture of Experts
Twenty Years of Mixture of Experts
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Twenty Years of Mixture of Experts

Yuksel, S. E. ; Wilson, J. N. ; Gader, P. D.

IEEE transaction on neural networks and learning systems, 2012-08, Vol.23 (8), p.1177-1193

United States: IEEE

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5
Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting
Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting
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Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting

Coop, Robert ; Mishtal, Aaron ; Arel, Itamar

IEEE transaction on neural networks and learning systems, 2013-10, Vol.24 (10), p.1623-1634

New York, NY: IEEE

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6
Adaptive Optimal Control of Unknown Constrained-Input Systems Using Policy Iteration and Neural Networks
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
Quantized Kernel Least Mean Square Algorithm
Quantized Kernel Least Mean Square Algorithm
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Quantized Kernel Least Mean Square Algorithm

Badong Chen ; Songlin Zhao ; Pingping Zhu ; Principe, J. C.

IEEE transaction on neural networks and learning systems, 2012-01, Vol.23 (1), p.22-32

New York, NY: IEEE

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8
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection
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Discriminative Least Squares Regression for Multiclass Classification and Feature Selection

Xiang, Shiming ; Nie, Feiping ; Meng, Gaofeng ; Pan, Chunhong ; Zhang, Changshui

IEEE transaction on neural networks and learning systems, 2012-11, Vol.23 (11), p.1738-1754

New York, NY: IEEE

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9
Common Nature of Learning Between Back-Propagation and Hopfield-Type Neural Networks for Generalized Matrix Inversion With Simplified Models
Common Nature of Learning Between Back-Propagation and Hopfield-Type Neural Networks for Generalized Matrix Inversion With Simplified Models
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Common Nature of Learning Between Back-Propagation and Hopfield-Type Neural Networks for Generalized Matrix Inversion With Simplified Models

Zhang, Yunong ; Guo, Dongsheng ; Li, Zhan

IEEE transaction on neural networks and learning systems, 2013-04, Vol.24 (4), p.579-592

New York, NY: IEEE

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10
A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints
A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints
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A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints

Liu, Qingshan ; Wang, Jun

IEEE transaction on neural networks and learning systems, 2013-05, Vol.24 (5), p.812-824

New York, NY: IEEE

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