Results 41 to 50 of about 1,714 (187)

Properties of Single-cycle Sinusoidal Wavelet Function

Journal of Harbin University of Science and Technology
The single-cycle sinusoidal wavelet is a wavelet with a compact support interval. In order to further study the properties of the single-cycle sinusoidal wavelet, based on the theory of wavelet analysis, the time-frequency analysis method is adopted to ...
LIN Qing, DENG Caixia, FU Zuoxian, PI Lu, LI Xueqing   +4 more
doaj   +1 more source

Noncommutative reproducing kernel Hilbert spaces

Journal of Functional Analysis, 2016
The theory of positive kernels and associated reproducing kernel Hilbert spaces, especially in the setting of holomorphic functions, has been an important tool for the last several decades in a number of areas of complex analysis and operator theory.
Ball, Joseph A., Marx, Gregory, Vinnikov, Victor   +2 more
openaire   +2 more sources

Social Sustainability in Circular Bioeconomy Business Models: Insights From Argentina

Sustainable Development, EarlyView.
ABSTRACT Research on circular bioeconomy business models (CBEBM) has largely prioritised environmental and economic aspects, leaving out the social pillar. To address this gap, this paper analyses to what extent and in what ways social sustainability is integrated into CBEBM, based on 12 cases from northern Argentina, a region with high potential for ...
Celina N. Amato, Mónica Buraschi, Karen M. Siegel   +2 more
wiley   +1 more source

Some Notes on Error Analysis for Kernel Based Regularized Interpolation

International Journal of Analysis and Applications, 2020
Kernel based regularized interpolation is one of the most important methods for approximating functions. The theory behind the kernel based regularized interpolation is the well-known Representer Theorem, which shows the form of approximation function in
Qing Zou
doaj  

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

Density Problem and Approximation Error in Learning Theory

Abstract and Applied Analysis, 2013
We study the density problem and approximation error of reproducing kernel Hilbert spaces for the purpose of learning theory. For a Mercer kernel on a compact metric space (, ), a characterization for the generated reproducing kernel Hilbert space (RKHS)
Ding-Xuan Zhou
doaj   +1 more source

The oscillatory response of the electroretinogram and neuronal adaptation

Acta Ophthalmologica, EarlyView.
Abstract After more than 50 years, there still remains a challenge and an interest to know more as well as extend and deepen our understanding of the small rapid wavelets, the oscillatory potentials (OPs), of the electroretinogram (ERG) and the neuronal adaptation of the retina.
Lillemor Wachtmeister, Anders Eklund
wiley   +1 more source

Simplified iterative reproducing kernel method for handling time-fractional BVPs with error estimation

Ain Shams Engineering Journal, 2018
In this article, we introduce a novel numerical scheme, the iterative reproducing kernel method (IRKM), for providing numerical approximate solutions of a certain class of time-fractional boundary value problem within favorable aspects of the reproducing
Mohammed Al-Smadi
doaj   +1 more source

Robust Distance Covariance

International Statistical Review, EarlyView.
Summary Distance covariance is a popular measure of dependence between random variables. It has some robustness properties, but not all. We prove that the influence function of the usual distance covariance is bounded, but that its breakdown value is zero.
Sarah Leyder, Jakob Raymaekers, Peter J. Rousseeuw   +2 more
wiley   +1 more source

Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression

Journal of Applied Mathematics, 2012
We study learning algorithms generated by regularization schemes in reproducing kernel Hilbert spaces associated with an ϵ-insensitive pinball loss. This loss function is motivated by the ϵ-insensitive loss for support vector regression and the pinball ...
Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou
doaj   +1 more source