AbstractThis paper deals with conditionally positive definite kernels on Euclidean spaces. The focus here is on dot product kernels, that is, those depending on the inner product of the variables. Among the results, we include some properties relating conditional positive definiteness and standard convolution in the line and also results related to the characterization of the conditionally positive definite dot product kernels with respect to finite-dimensional polynomial spaces. We also introduce and characterize two large classes of strictly conditionally positive definite dot product kernels
In this work, we generalize three famous results obtained by Schoenberg: I) the characterization of ...
In this work, we generalize three famous results obtained by Schoenberg: I) the characterization of ...
Convolution is an important tool in the construction of positive definite kernels on a manifold. Thi...
AbstractThis paper deals with conditionally positive definite kernels on Euclidean spaces. The focus...
AbstractConditionally positive definite kernels are frequently used in multi-dimensional data fittin...
Positive definite kernels and their generalizations, as, e.g., the conditionally positive definite k...
Conditionally positive definite kernels provide a powerful tool for scattered data approximation. Ma...
AbstractThis paper characterizes several classes of conditionally positive definite kernels on a dom...
The correspondence between reproducing kernel Hilbert spaces and positive definite kernels is well u...
This paper gives a survey of results in the mathematical literature on positive definite kernels and...
AbstractThis paper characterizes several classes of conditionally positive definite kernels on a dom...
We determine a necessary and sufficient condition for the strict positive definiteness of a continuo...
Abstract. In this note we refine the notion of conditionally negative definite kernels to the notion...
Abstract. Convolution is an important tool in the construction of positive definite kernels on a man...
In this paper we define classes of functions which we call positive definite kernel functions and po...
In this work, we generalize three famous results obtained by Schoenberg: I) the characterization of ...
In this work, we generalize three famous results obtained by Schoenberg: I) the characterization of ...
Convolution is an important tool in the construction of positive definite kernels on a manifold. Thi...
AbstractThis paper deals with conditionally positive definite kernels on Euclidean spaces. The focus...
AbstractConditionally positive definite kernels are frequently used in multi-dimensional data fittin...
Positive definite kernels and their generalizations, as, e.g., the conditionally positive definite k...
Conditionally positive definite kernels provide a powerful tool for scattered data approximation. Ma...
AbstractThis paper characterizes several classes of conditionally positive definite kernels on a dom...
The correspondence between reproducing kernel Hilbert spaces and positive definite kernels is well u...
This paper gives a survey of results in the mathematical literature on positive definite kernels and...
AbstractThis paper characterizes several classes of conditionally positive definite kernels on a dom...
We determine a necessary and sufficient condition for the strict positive definiteness of a continuo...
Abstract. In this note we refine the notion of conditionally negative definite kernels to the notion...
Abstract. Convolution is an important tool in the construction of positive definite kernels on a man...
In this paper we define classes of functions which we call positive definite kernel functions and po...
In this work, we generalize three famous results obtained by Schoenberg: I) the characterization of ...
In this work, we generalize three famous results obtained by Schoenberg: I) the characterization of ...
Convolution is an important tool in the construction of positive definite kernels on a manifold. Thi...