Results 111 to 120 of about 16,578 (196)

Iterative sparse interpolation in reproducing kernel Hilbert spaces [PDF]

, 2001
The problem of interpolating data in reproducing kernel Hilbert spaces is well known to be ill-conditioned. In the presence of noise, regularisation can be applied to find a good solution. In the noise-free case, regularisation has the effect of over-smoothing the function and few data points are interpolated.
Dodd, T.J., Harrison, R.F.
openaire  

Sparse Machine Learning in Banach Spaces. [PDF]

Appl Numer Math, 2023
Xu Y.
europepmc   +1 more source

Reproducing Kernel Hilbert Spaces [PDF]

, 1989
openaire   +1 more source

Exploring novel semi-inner product reproducing Kernels in Banach space for robust Kernel methods. [PDF]

PLoS One
Ding Y, Zhao Y, Pei Y.
europepmc   +1 more source

The impact of the exponential Kernel's bandwidth parameter on learning algorithms. [PDF]

Sci Rep
Almahdawi MA.
europepmc   +1 more source

Critical evaluation of the theory and practice of feed-forward neural networks for genomic prediction. [PDF]

G3 (Bethesda)
Kusmec A, Negus KL, Yu J.
europepmc   +1 more source

Regression in tensor product spaces by the method of sieves. [PDF]

Electron J Stat, 2023
Zhang T, Simon N.
europepmc   +1 more source

Low density marker-based effectiveness and efficiency of early-generation genomic selection relative to phenotype-based selection in dolichos bean (Lablab purpureus L. Sweet). [PDF]

Plant Genome
Kalpana MP, Ramesh S, Siddu CB, Basanagouda G, Madhusudan K, Sathish H, Sindhu D, Kemparaju M, Anilkumar C.   +8 more
europepmc   +1 more source

New Properties of Holomorphic Sobolev-Hardy Spaces. [PDF]

Complex Anal Oper Theory
Gryc W, Lanzani L, Xiong J, Zhang Y.
europepmc   +1 more source

Stability and Inference of the Euler Characteristic Transform. [PDF]

Discrete Comput Geom
Marsh L, Beers D.
europepmc   +1 more source