May 20, 2019 · In this paper, we propose a new regularization network for Volterra models identification. It relies on a new kernel given by the product of ...
In this paper, we propose a new regularization network for Volterra models identification. It relies on a new kernel given by the product of basic building ...
In this paper, we propose a new regularization network for Volterra models identification. It relies on a new kernel given by the product of basic building ...
In this paper, we propose a new regularization network for Volterra models identification. It relies on a new kernel given by the product of basic building ...
In this paper, we propose a new regularization network for Volterra models identification. It relies on a new kernel given by the product of basic building ...
Nov 12, 2019 · The Volterra series learning strategy we propose is based on a novel polynomial kernel, called Multiplicative Polyno- mial Kernel (MPK).
Mar 26, 2021 · Along this line, we propose two new strategies that use kernel-based methods. First, we introduce the multiplicative polynomial kernel (MPK).
It is shown that Volterra and Wiener series can be represented implicitly as elements of a reproducing kernel Hilbert space by using polynomial kernels.
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A novel Multiplicative Polynomial Kernel for Volterra series identification-book.
A novel multiplicative polynomial kernel for volterra series identification. A Dalla Libera, R Carli, G Pillonetto. IFAC-PapersOnLine 53 (2), 316-321, 2020. 28 ...