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Refinado por: Nome da Publicação: Ieee Transaction On Neural Networks And Learning Systems remover data de publicação: 2013Até2014 remover
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1
Learning Deep Hierarchical Visual Feature Coding
Learning Deep Hierarchical Visual Feature Coding
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Learning Deep Hierarchical Visual Feature Coding

Hanlin Goh ; Thome, Nicolas ; Cord, Matthieu ; Joo-Hwee Lim

IEEE transaction on neural networks and learning systems, 2014-12, Vol.25 (12), p.2212-2225

United States: IEEE

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2
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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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3
Feature Learning for Image Classification Via Multiobjective Genetic Programming
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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4
Deep Networks are Effective Encoders of Periodicity
Deep Networks are Effective Encoders of Periodicity
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Deep Networks are Effective Encoders of Periodicity

Szymanski, Lech ; McCane, Brendan

IEEE transaction on neural networks and learning systems, 2014-10, Vol.25 (10), p.1816-1827

United States: IEEE

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5
An Incremental Design of Radial Basis Function Networks
An Incremental Design of Radial Basis Function Networks
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An Incremental Design of Radial Basis Function Networks

Hao Yu ; Reiner, Philip D. ; Tiantian Xie ; Bartczak, Tomasz ; Wilamowski, Bogdan M.

IEEE transaction on neural networks and learning systems, 2014-10, Vol.25 (10), p.1793-1803

United States: IEEE

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6
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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7
H infinity State Estimation for Complex Networks With Uncertain Inner Coupling and Incomplete Measurements
H infinity State Estimation for Complex Networks With Uncertain Inner Coupling and Incomplete Measurements
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H infinity State Estimation for Complex Networks With Uncertain Inner Coupling and Incomplete Measurements

Shen, Bo ; Wang, Zidong ; Ding, Derui ; Shu, Huisheng

IEEE transaction on neural networks and learning systems, 2013-12, Vol.24 (12), p.2027-2037

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8
Memristor Crossbar-Based Neuromorphic Computing System: A Case Study
Memristor Crossbar-Based Neuromorphic Computing System: A Case Study
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Memristor Crossbar-Based Neuromorphic Computing System: A Case Study

Miao Hu ; Hai Li ; Yiran Chen ; Qing Wu ; Rose, Garrett S. ; Linderman, Richard W.

IEEE transaction on neural networks and learning systems, 2014-10, Vol.25 (10), p.1864-1878

United States: IEEE

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9
Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm
Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm
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Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm

Brzezinski, Dariusz ; Stefanowski, Jerzy

IEEE transaction on neural networks and learning systems, 2014-01, Vol.25 (1), p.81-94

United States: IEEE

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10
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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