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[HTML][HTML] Machine Learning Application of Generalized Gaussian Radial Basis Function and Its Reproducing Kernel Theory
H Singh - Mathematics, 2024 - mdpi.com
Gaussian Radial Basis Function Kernels are the most-often-employed kernel function in
artificial intelligence for providing the optimal results in contrast to their respective …
artificial intelligence for providing the optimal results in contrast to their respective …
Data-driven discovery with Limited Data Acquisition for fluid flow across cylinder
H Singh - arxiv preprint arxiv:2312.12630, 2023 - arxiv.org
One of the central challenge for extracting governing principles of dynamical system via
Dynamic Mode Decomposition (DMD) is about the limit data availability or formally called as …
Dynamic Mode Decomposition (DMD) is about the limit data availability or formally called as …
An appointment with Reproducing Kernel Hilbert Space generated by Generalized Gaussian RBF as measure
H Singh - arxiv preprint arxiv:2312.10693, 2023 - arxiv.org
Gaussian Radial Basis Function (RBF) Kernels are the most-often-employed kernels in
artificial intelligence and machine learning routines for providing optimally-best results in …
artificial intelligence and machine learning routines for providing optimally-best results in …