Results 121 to 130 of about 2,581 (224)

A Brief Introduction to Reproducing Kernel Hilbert Spaces

We present important results from Hilbert space and functional analysis for understanding the subject ofReproducing kernel Hilbert spaces. We then showcase the underlying theory and properties of Reproducingkernel Hilbert Spaces. Finally, we show how the
Eriksson, Gustav, Belin, Emil
core   +1 more source

Adaptive Software-Defined Network Control Using Kernel-Based Reinforcement Learning: An Empirical Study

Applied Sciences
Software-defined networking (SDN) requires adaptive control strategies to handle dynamic traffic conditions and heterogeneous network environments.
Yedil Nurakhov, Abzal Kyzyrkanov, Zhenis Otarbay, Danil Lebedev   +3 more
doaj   +1 more source

A Survey on Reproducing Kernel Hilbert Spaces

Bu tezin içeriği, Matematik, İstatistik ve makine öğrenmesi gibi pek çok alanda önemli bir araç olarak kullanılan doğuran çekirdekli Hilbert uzayları ile ilgili genel bilgilerden oluşmaktadır.
Kaysı, Tuba
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Some Lemmas on Reproducing Kernel Hilbert Spaces [PDF]

, 2002
Reproducing kernel Hilbert spaces (RKHS) provides a framework for approximation from finite data using the idea of bounded linear functionals. The approximation problem in this case can be viewed as the inverse problem of finding the optimum operator from the Euclidean space of observations to some subspace of the RKHS.
Dodd, T.J., Harrison, R.F.
openaire  

Generalisations of Pick's theorem to reproducing Kernel Hilbert spaces [PDF]

, 1994
Pick's theorem states that there exists a function in H1, which is bounded by 1 and takes given values at given points, if and only if a certain matrix is positive.
Quiggin, Peter Philip, Young, Nicholas, Quiggin, P.P   +2 more
core  

Reproducing Kernel Hilbert Spaces Over Interval, Circle, and Sphere

, 2021
This thesis discusses the problem of regression models in the field of statistics, and introduces the application of mathematical analysis in statistics.
Hsu, Yu-Chi
core  

The Convergence Rate for a -Functional in Learning Theory

Journal of Inequalities and Applications, 2010
It is known that in the field of learning theory based on reproducing kernel Hilbert spaces the upper bounds estimate for a -functional is needed.
Xiang Dao-Hong, Sheng Bao-Huai
doaj  

Distance Functions for Reproducing Kernel Hilbert Spaces

, 2011
Suppose $H$ is a space of functions on $X$. If $H$ is a Hilbert space with reproducing kernel then that structure of $H$ can be used to build distance functions on $X$. We describe some of those and their interpretations and interrelations.
R. Rochberg, E. Sawyer, B. Wick, ARCOZZI, NICOLA   +3 more
core  

Conditional Exponential Convex Functions on White Noise Spaces

Axioms
This paper seeks to present the fundamental features of the category of conditional exponential convex functions (CECFs). Additionally, the study of continuous CECFs contributes to the characterization of convolution semigroups.
Ahmed. M. Zabel, Areej A. Almoneef, Ayat Nassar, Abd-Allah Hyder   +3 more
doaj   +1 more source

Reproducing kernels in separable Hilbert spaces [PDF]

Pacific Journal of Mathematics, 1968
openaire   +3 more sources