Results 251 to 260 of about 5,834,158 (292)

Kernel Estimation of a Characteristic Function

Journal of Mathematical Sciences, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abdushukurov, A. A., Norboev, F. Sh.
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On discrete Epanechnikov kernel functions

Computational Statistics & Data Analysis, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chi-Yang Chu, Daniel J. Henderson, Christopher F. Parmeter   +2 more
openaire   +3 more sources

Multiple kernel learning using composite kernel functions

Engineering Applications of Artificial Intelligence, 2017
Abstract Multiple Kernel Learning (MKL) algorithms deals with learning the optimal kernel from training data along with learning the function that generates the data. Generally in MKL, the optimal kernel is defined as a combination of kernels under consideration (base kernels). In this paper, we formulated MKL using composite kernel functions (MKLCKF)
Asif Salim, Sumitra S
exaly   +3 more sources

A Class of Novel Kernel Functions

2008
This paper proposes a kind of novel kernel functions obtained from the reproducing kernels of Hilbert spaces associated with special inner product. SVM with the proposed kernel functions only need less support vectors to construct two-class hyperplane than the SVM with Gaussian kernel functions, so the proposed kernel functions have the better ...
Xinfei Liao, Limin Tao
openaire   +2 more sources

The Bergman kernel and the green function

Journal of Mathematical Sciences, 1997
See the review in Zbl 0885.32021.
openaire   +2 more sources

Preemption of a CUDA Kernel Function

2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2012
As graphics processing units (GPUs) gain adoption as general purpose parallel compute devices, several key problems need to be addressed in order for their use to become more practical and more user friendly. One such problem is special functions designed to execute on GPUs called kernel functions are non-preempt able.
Jon Calhoun 0001, Hai Jiang 0003
openaire   +2 more sources

Discrete Kernel Aggregation Functions

2011
The study of discrete aggregation functions (those defined on a finite chain) with some kind of smoothness has been extensively developed in last years. Smooth t-norms and t-conorms, nullnorms and some kinds of uninorms, copulas and quasi-copulas have been characterized in this context.
Margarita Mas, Miquel Monserrat, Joan Torrens   +2 more
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ON DISCONTINUITY OF THE BERGMAN KERNEL FUNCTION

International Journal of Mathematics, 1999
Let [Formula: see text] be a Ck-smoothly (with k≥1) bounded pseudoconvex domain and [Formula: see text] denote its Bergman kernel function. In this article the question is investigated, whether the function [Formula: see text] is continuous up to the boundary in the topology of the extended real line [Formula: see text].
Diederich, Klas, Herbort, Gregor
openaire   +1 more source

A variable kernel function for hybrid unsupervised kernel regression

Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, 2014
Dimensionality reduction is an important problem class in machine learning and data mining, as the dimensionality of data sets is steadily increasing. This work is a contribution in the line of research on iterative unsupervised kernel regression (UKR), a class of methods for dimensionality reduction that employ regression methods to find low ...
Daniel Lückehe, Oliver Kramer 0001
openaire   +1 more source

Exploring different kernel functions for kernel-based clustering

International Journal of Artificial Intelligence and Soft Computing, 2016
Kernel methods are ones that, by replacing the inner product with positive definite function, implicitly perform a non-linear mapping of input data into a high dimensional feature space. Kernel functions are used to make this mapping in higher dimension redundant. These kernel functions play an important role in classification.
Meena Tushir, Smriti Srivastava
openaire   +2 more sources