Results 71 to 80 of about 47,892 (174)
Representing functional data in reproducing Kernel Hilbert Spaces with applications to clustering and classification [PDF]
Functional data are difficult to manage for many traditional statistical techniques given their very high (or intrinsically infinite) dimensionality. The reason is that functional data are essentially functions and most algorithms are designed to work ...
Alberto Muñoz, Javier González
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An Exact Solution of the Binary Singular Problem
Journal of Function Spaces, 2014 Singularity problem exists in various branches of applied mathematics. Such ordinary differential equations accompany singular coefficients. In this paper, by using the properties of reproducing kernel, the exact solution expressions of dual singular ...
Baiqing Sun +3 more
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Explicit Solution of Telegraph Equation Based on Reproducing Kernel Method
Journal of Function Spaces and Applications, 2012 We propose a reproducing kernel method for solving the telegraph equation with initial conditions based on the reproducing kernel theory. The exact solution is represented in the form of series, and some numerical examples have been studied in order to ...
Mustafa Inc, Ali Akgül, Adem Kiliçman
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Gradient reproducing kernel particle method [PDF]
Journal of Mechanics of Materials and Structures, 2008 Alireza Hashemian, Hossein Shodja
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A quasi-conforming embedded reproducing kernel particle method for heterogeneous materials
, 2023 Ryan Schlinkman +4 more
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The Solution of a Class of Third-Order Boundary Value Problems by the Reproducing Kernel Method
Abstract and Applied Analysis, 2012 This paper expands the application of reproducing kernel method to a class of third-order boundary value problems with mixed nonlinear boundary conditions. The analytical solution is represented in the form of series in the reproducing kernel space.
Zhiyuan Li, Yulan Wang, Fugui Tan
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, 2016 To the best of our knowledge, there are no general well-founded robust methods for statistical unsupervised learning. Most of the unsupervised methods explicitly or implicitly depend on the kernel covariance operator (kernel CO) or kernel cross-covariance operator (kernel CCO).
Alam, Md. Ashad +2 more
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Convergence Order of the Reproducing Kernel Method for Solving Boundary Value Problems
Mathematical Modelling and Analysis, 2016 In this paper, convergence rate of the reproducing kernel method for solving boundary value problems is studied. The equivalence of two reproducing kernel spaces and some results of adjoint operator are proved.
Zhihong Zhao, Yingzhen Lin, Jing Niu
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Aveiro method in reproducing kernel Hilbert spaces under complete dictionary [PDF]
, 2017 Weixiong Mai, Tao Qian
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