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MIMO Volterra kernel recovery in the frequency domain using neural networks. [PDF]

Nonlinear Dyn
Preston OHL, Rogers TJ, Worden K.
europepmc   +1 more source

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Exploring nonlinear relationships in chemical data using kernel-based methods

Chemometrics and Intelligent Laboratory Systems, 2011
Qian-Nan Hu, Qing-Song Xu, Guang-Hui Fu
exaly  

Nonlinear Projection Trick in Kernel Methods: An Alternative to the Kernel Trick

IEEE Transactions on Neural Networks and Learning Systems, 2013
Nojun Kwak
exaly  

Reproducing kernel particle methods

International Journal for Numerical Methods in Fluids, 1995
Wing Kam Liu, Sukky Jun
exaly  

An optimal reproducing kernel method for linear nonlocal boundary value problems

Applied Mathematics Letters, 2018
F Z Geng
exaly  

Kernel-based methods for hyperspectral image classification

IEEE Transactions on Geoscience and Remote Sensing, 2005
Lorenzo Bruzzone, Gustau Camps-Valls
exaly  

A novel method for a fractional derivative with non-local and non-singular kernel

Chaos, Solitons and Fractals, 2018
Ali Akgül
exaly  

Out-of-Sample Extensions for Non-Parametric Kernel Methods

IEEE Transactions on Neural Networks and Learning Systems, 2017
Wen-Sheng Chen, Binbin Pan, Jianhuang Lai   +2 more
exaly  

A Review of Kernel Methods for Feature Extraction in Nonlinear Process Monitoring

Processes, 2020
Karl Ezra Salgado Pilario, Mahmood Shafiee, Shuang-Hua Yang   +2 more
exaly  

A kernel-based image denoising method for improving parametric image generation

Medical Image Analysis, 2019
Hsuan-Ming Huang
exaly