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1
Nonparametric Coupled Bayesian Dictionary and Classifier Learning for Hyperspectral Classification
Nonparametric Coupled Bayesian Dictionary and Classifier Learning for Hyperspectral Classification
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Nonparametric Coupled Bayesian Dictionary and Classifier Learning for Hyperspectral Classification

Akhtar, Naveed ; Mian, Ajmal

IEEE transaction on neural networks and learning systems, 2018-09, Vol.29 (9), p.4038-4050

United States: IEEE

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2
Identification of the Structure of a Probabilistic Boolean Network From Samples Including Frequencies of Outcomes
Identification of the Structure of a Probabilistic Boolean Network From Samples Including Frequencies of Outcomes
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Identification of the Structure of a Probabilistic Boolean Network From Samples Including Frequencies of Outcomes

Akutsu, Tatsuya ; Melkman, Avraham A.

IEEE transaction on neural networks and learning systems, 2019-08, Vol.30 (8), p.2383-2396

United States: IEEE

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3
Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes
Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes
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Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes

Alessandri, A. ; Gaggero, M. ; Zoppoli, R.

IEEE transaction on neural networks and learning systems, 2012-06, Vol.23 (6), p.984-996

New York, NY: IEEE

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4
Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization
Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization
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Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization

Alexandridis, A. ; Chondrodima, E. ; Sarimveis, H.

IEEE transaction on neural networks and learning systems, 2013-02, Vol.24 (2), p.219-230

New York, NY: IEEE

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5
Just-In-Time Classifiers for Recurrent Concepts
Just-In-Time Classifiers for Recurrent Concepts
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Just-In-Time Classifiers for Recurrent Concepts

Alippi, C. ; Boracchi, G. ; Roveri, M.

IEEE transaction on neural networks and learning systems, 2013-04, Vol.24 (4), p.620-634

New York, NY: IEEE

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6
Just-in-Time Adaptive Classifiers-Part I: Detecting Nonstationary Changes
Just-in-Time Adaptive Classifiers-Part I: Detecting Nonstationary Changes
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Just-in-Time Adaptive Classifiers-Part I: Detecting Nonstationary Changes

Alippi, C. ; Roveri, M.

IEEE transactions on neural networks, 2008-07, Vol.19 (7), p.1145-1153

New York, NY: IEEE

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7
A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks
A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks
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A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks

Alippi, Cesare ; Roveri, Manuel ; Trovo, Francesco

IEEE transaction on neural networks and learning systems, 2014-06, Vol.25 (6), p.1021-1032

New York, NY: IEEE

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8
Neural Network-Based Distributed Attitude Coordination Control for Spacecraft Formation Flying With Input Saturation
Neural Network-Based Distributed Attitude Coordination Control for Spacecraft Formation Flying With Input Saturation
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Neural Network-Based Distributed Attitude Coordination Control for Spacecraft Formation Flying With Input Saturation

An-Min Zou ; Kumar, K. D.

IEEE transaction on neural networks and learning systems, 2012-07, Vol.23 (7), p.1155-1162

New York, NY: IEEE

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9
Function Approximation Using Combined Unsupervised and Supervised Learning
Function Approximation Using Combined Unsupervised and Supervised Learning
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Function Approximation Using Combined Unsupervised and Supervised Learning

Andras, Peter

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.495-505

New York, NY: IEEE

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10
Scaling Up Support Vector Machines Using Nearest Neighbor Condensation
Scaling Up Support Vector Machines Using Nearest Neighbor Condensation
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Scaling Up Support Vector Machines Using Nearest Neighbor Condensation

Angiulli, F. ; Astorino, A.

IEEE transactions on neural networks, 2010-02, Vol.21 (2), p.351-357

New York, NY: IEEE

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