Related references
Note: Only part of the references are listed.Adaptive meshless refinement schemes for RBF-PUM collocation
R. Cavoretto et al.
APPLIED MATHEMATICS LETTERS (2019)
Implicit surface reconstruction based on generalized radial basis functions interpolant with distinct constraints
De-Yun Zhong et al.
APPLIED MATHEMATICAL MODELLING (2019)
RBF-Based Partition of Unity Methods for Elliptic PDEs: Adaptivity and Stability Issues Via Variably Scaled Kernels
S. De Marchi et al.
JOURNAL OF SCIENTIFIC COMPUTING (2019)
Multilevel quasi-interpolation on a sparse grid with the Gaussian
Fuat Usta et al.
NUMERICAL ALGORITHMS (2018)
A multilevel sparse kernel-based stochastic collocation finite element method for elliptic problems with random coefficients
Zhaonan Dong et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2018)
A LEAST SQUARES RADIAL BASIS FUNCTION PARTITION OF UNITY METHOD FOR SOLVING PDES
Elisabeth Larsson et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2017)
Preconditioning for Radial Basis Function Partition of Unity Methods
Alfa Heryudono et al.
JOURNAL OF SCIENTIFIC COMPUTING (2016)
A numerical meshless method of soliton-like structures model via an optimal sampling density based kernel interpolation
Xin Xu et al.
COMPUTER PHYSICS COMMUNICATIONS (2015)
Reproducing kernel technique for high dimensional model representations (HDMR)
Xiaopeng Luo et al.
COMPUTER PHYSICS COMMUNICATIONS (2014)
A novel Hybrid RBF Neural Networks model as a forecaster
Oguz Akbilgic et al.
STATISTICS AND COMPUTING (2014)
MULTILEVEL SPARSE KERNEL-BASED INTERPOLATION
Emmanuil H. Georgoulis et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2013)
On the optimal shape parameter for Gaussian radial basis function finite difference approximation of the Poisson equation
Oleg Davydov et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2011)
Sampling inequalities for infinitely smooth functions, with applications to interpolation and machine learning
Christian Rieger et al.
ADVANCES IN COMPUTATIONAL MATHEMATICS (2010)
Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training
Mohamed Farouk Abdel Hady et al.
NEURAL NETWORKS (2010)
An estimate for multivariate interpolation II
W. R. Madych
JOURNAL OF APPROXIMATION THEORY (2006)
Binary tree of SVM: A new fast multiclass training and classification algorithm
Ben Fei et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2006)
Approximate interpolation with applications to selecting smoothing parameters
H Wendland et al.
NUMERISCHE MATHEMATIK (2005)
Refined error estimates for radial basis function interpolation
FJ Narcowich et al.
CONSTRUCTIVE APPROXIMATION (2003)