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Kernel adaptive filtering: a comprehensive introduction

1, 2010

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An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters

IEEE transaction on neural networks and learning systems, 2009-12, Vol.20 (12), p.1950-1961

2009

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Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives

Principe, Jose C

1, 2010

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Extended Kernel Recursive Least Squares Algorithm

IEEE transactions on signal processing, 2009-10, Vol.57 (10), p.3801-3814

2009

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Time-Based Compression and Classification of Heartbeats

IEEE transactions on biomedical engineering, 2012-06, Vol.59 (6), p.1641-1648

2012

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An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves

IEEE transactions on signal processing, 2012-10, Vol.60 (10), p.5135-5145

2012

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Quantized Kernel Least Mean Square Algorithm

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

2012

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Complex correntropy function: Properties, and application to a channel equalization problem

Expert systems with applications, 2018-10, Vol.107, p.173-181

2018

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Fault detection via recurrence time statistics and one-class classification

Pattern recognition letters, 2016-12, Vol.84, p.8-14

2016

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Generalized Correntropy for Robust Adaptive Filtering

IEEE transactions on signal processing, 2016-07, Vol.64 (13), p.3376-3387

2016

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Understanding autoencoders with information theoretic concepts

Neural networks, 2019-09, Vol.117, p.104-123

2019

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Maximum Correntropy Estimation Is a Smoothed MAP Estimation

IEEE signal processing letters, 2012-08, Vol.19 (8), p.491-494

2012

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Quantized Kernel Recursive Least Squares Algorithm

IEEE transaction on neural networks and learning systems, 2013-09, Vol.24 (9), p.1484-1491

2013

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Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces

Neural computation, 2009-10, Vol.21 (10), p.2894-2930

2009

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Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion

IEEE signal processing letters, 2015-10, Vol.22 (10), p.1723-1727

2015

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Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion

IEEE signal processing letters, 2014-07, Vol.21 (7), p.880-884

2014

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Kernel least mean square with adaptive kernel size

Neurocomputing (Amsterdam), 2016-05, Vol.191, p.95-106

2016

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Analysis and Design of Echo State Networks

Neural computation, 2007-01, Vol.19 (1), p.111-138

2007

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Insights Into the Robustness of Minimum Error Entropy Estimation

IEEE transaction on neural networks and learning systems, 2018-03, Vol.29 (3), p.731-737

2018

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Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery

Journal of neuroengineering and rehabilitation, 2017-07, Vol.14 (1), p.67-67, Article 67

2017

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Modularizing Deep Learning via Pairwise Learning With Kernels

IEEE transaction on neural networks and learning systems, 2022-04, Vol.33 (4), p.1441-1451

2022

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Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations

IEEE transaction on neural networks and learning systems, 2023-08, Vol.34 (8), p.5156-5170

2023

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Functional Bayesian Filter

IEEE transactions on signal processing, 2022, Vol.70, p.57-71

2022

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Functional Connectivity Dynamics Among Cortical Neurons: A Dependence Analysis

IEEE transactions on neural systems and rehabilitation engineering, 2012-01, Vol.20 (1), p.18-30

2012

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An associative memory readout for ESNs with applications to dynamical pattern recognition

Neural networks, 2007-04, Vol.20 (3), p.377-390

2007

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Kernel adaptive filtering: a comprehensive introduction

An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters

Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives

Extended Kernel Recursive Least Squares Algorithm

Time-Based Compression and Classification of Heartbeats

An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves

Quantized Kernel Least Mean Square Algorithm

Complex correntropy function: Properties, and application to a channel equalization problem

Fault detection via recurrence time statistics and one-class classification

Generalized Correntropy for Robust Adaptive Filtering

Understanding autoencoders with information theoretic concepts

Maximum Correntropy Estimation Is a Smoothed MAP Estimation

Quantized Kernel Recursive Least Squares Algorithm

Sequential Monte Carlo Point-Process Estimation of Kinematics from Neural Spiking Activity for Brain-Machine Interfaces

Convergence of a Fixed-Point Algorithm under Maximum Correntropy Criterion

Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion

Kernel least mean square with adaptive kernel size

Analysis and Design of Echo State Networks

Insights Into the Robustness of Minimum Error Entropy Estimation

Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery

Modularizing Deep Learning via Pairwise Learning With Kernels

Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations

Functional Bayesian Filter

Functional Connectivity Dynamics Among Cortical Neurons: A Dependence Analysis

An associative memory readout for ESNs with applications to dynamical pattern recognition

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