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Kernel Mode Decomposition and the Programming of Kernels / / by Houman Owhadi, Clint Scovel, Gene Ryan Yoo



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Autore: Owhadi Houman Visualizza persona
Titolo: Kernel Mode Decomposition and the Programming of Kernels / / by Houman Owhadi, Clint Scovel, Gene Ryan Yoo Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Edizione: 1st ed. 2021.
Descrizione fisica: 1 online resource (125 pages)
Disciplina: 518.2
Soggetto topico: Neural networks (Computer science)
Approximation theory
Mathematical Models of Cognitive Processes and Neural Networks
Approximations and Expansions
Persona (resp. second.): ScovelClint <1955->
YooGene Ryan
Nota di contenuto: Introduction -- Review -- The mode decomposition problem -- Kernel mode decomposition networks (KMDNets) -- Additional programming modules and squeezing -- Non-trigonometric waveform and iterated KMD -- Unknown base waveforms -- Crossing frequencies, vanishing modes, and noise -- Appendix.
Sommario/riassunto: This monograph demonstrates a new approach to the classical mode decomposition problem through nonlinear regression models, which achieve near-machine precision in the recovery of the modes. The presentation includes a review of generalized additive models, additive kernels/Gaussian processes, generalized Tikhonov regularization, empirical mode decomposition, and Synchrosqueezing, which are all related to and generalizable under the proposed framework. Although kernel methods have strong theoretical foundations, they require the prior selection of a good kernel. While the usual approach to this kernel selection problem is hyperparameter tuning, the objective of this monograph is to present an alternative (programming) approach to the kernel selection problem while using mode decomposition as a prototypical pattern recognition problem. In this approach, kernels are programmed for the task at hand through the programming of interpretable regression networks in the contextof additive Gaussian processes. It is suitable for engineers, computer scientists, mathematicians, and students in these fields working on kernel methods, pattern recognition, and mode decomposition problems.
Titolo autorizzato: Kernel mode decomposition and the programming of Kernels  Visualizza cluster
ISBN: 3-030-82171-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910520085603321
Lo trovi qui: Univ. Federico II
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Serie: Surveys and Tutorials in the Applied Mathematical Sciences, . 2199-4773 ; ; 8