Representation for the reproducing kernel Hilbert space method for a nonlinear system
, 2019 x
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Radial Basis Function Network in Reproducing Kernel Hilbert Space
The present study employs an idea of mapping data into a high dimensional feature space which is known as Reproducing Kernel Hilbert Space (RKHS), then performs Radial Basis Function (RBF) network in the feature space where the new basis function will be
Dachapak, Chooleewan +8 more
core
Kernel partial least squares regression in reproducing kernel Hilbert space
, 2001 A family of regularized least squares regression models in a Reproducing Kernel Hilbert Space is extended by the kernel partial least squares (PLS) regression model.
Leonard J. Trejo, Roman Rosipal
core
Proton-driven many-body interactions and structural organization in He <sub><i>n</i></sub> H<sup>+</sup> clusters. [PDF]
RSC AdvMontes de Oca-Estévez MJ +2 more
europepmc +1 more source
Identifying stochastic dynamics from non-sequential data (DyNoSeD). [PDF]
ChaosLu Z, Kuśmierz Ł, Mihalas S.
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Stability and Inference of the Euler Characteristic Transform. [PDF]
Discrete Comput GeomMarsh L, Beers D.
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Mean and variance heterogeneity loci impact kernel compositional traits in maize. [PDF]
Plant GenomeIsmail YMA +5 more
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Genomic prediction accuracy for low hydrogen cyanide selection in fresh cassava roots. Comparative model analysis. [PDF]
BMC Plant BiolKanaabi M +12 more
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Introducing the kernel descent optimizer for variational quantum algorithms. [PDF]
Sci RepSimon L, Eble H, Radons M.
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Decision-Making Under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets. [PDF]
Entropy (Basel)Dellaporta C, O'Hara P, Damoulas T.
europepmc +1 more source