We introduce a reproducing kernel structure for Hilbert spaces of functions where differences of point evaluations are bounded. The associated reproducing kernels are characterized in terms of conditionally negative functions
We do a preliminary study of the reproducing kernel Hilbert space having as kernel $k^d$, where $d$ ...
Kernel-based methods and their underlying structure of reproducing kernel Hilbert spaces (RKHS) are ...
n this paper we show that many kernel methods can be adapted to deal with indefinite kernels, that i...
Abstract. We introduce a reproducing kernel structure for Hilbert spaces of functions where differen...
The correspondence between reproducing kernel Hilbert spaces and positive definite kernels is well u...
This report is concerned with the theory of reproducing kernels. First, a background of elementary f...
This report is concerned with the theory of reproducing kernels. First, a background of elementary f...
This paper is devoted to the study of reproducing kernel Hilbert spaces. We focus on multipliers of ...
AbstractWe investigate reproducing kernel Hilbert spaces (RKHS) where two functions are orthogonal w...
This article studies constructions of reproducing kernel Banach spaces (RKBSs) which may be viewed a...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
Conditionally positive definite kernels provide a powerful tool for scattered data approximation. Ma...
<p>Reparameterization of the Bayesian RKHS (reproducing kernel Hilbert spaces) and the G-BLUP. Adapt...
We do a preliminary study of the reproducing kernel Hilbert space having as kernel $k^d$, where $d$ ...
We do a preliminary study of the reproducing kernel Hilbert space having as kernel $k^d$, where $d$ ...
Kernel-based methods and their underlying structure of reproducing kernel Hilbert spaces (RKHS) are ...
n this paper we show that many kernel methods can be adapted to deal with indefinite kernels, that i...
Abstract. We introduce a reproducing kernel structure for Hilbert spaces of functions where differen...
The correspondence between reproducing kernel Hilbert spaces and positive definite kernels is well u...
This report is concerned with the theory of reproducing kernels. First, a background of elementary f...
This report is concerned with the theory of reproducing kernels. First, a background of elementary f...
This paper is devoted to the study of reproducing kernel Hilbert spaces. We focus on multipliers of ...
AbstractWe investigate reproducing kernel Hilbert spaces (RKHS) where two functions are orthogonal w...
This article studies constructions of reproducing kernel Banach spaces (RKBSs) which may be viewed a...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
We consider conditions on a given system F of vectors in Hilbert space H, forming a frame, which tur...
Conditionally positive definite kernels provide a powerful tool for scattered data approximation. Ma...
<p>Reparameterization of the Bayesian RKHS (reproducing kernel Hilbert spaces) and the G-BLUP. Adapt...
We do a preliminary study of the reproducing kernel Hilbert space having as kernel $k^d$, where $d$ ...
We do a preliminary study of the reproducing kernel Hilbert space having as kernel $k^d$, where $d$ ...
Kernel-based methods and their underlying structure of reproducing kernel Hilbert spaces (RKHS) are ...
n this paper we show that many kernel methods can be adapted to deal with indefinite kernels, that i...
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