Suchergebnisse - Kernel functions in one complex variable and applications

Generalized Mercer Kernels and Reproducing Kernel Banach Spaces von Xu, Yuesheng, Ye, Qi

“… This article studies constructions of reproducing kernel Banach spaces (RKBSs) which may be viewed as a generalization of reproducing kernel Hilbert spaces (RKHSs …”
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Time Changes of the Brownian Motion: Poincaré Inequality, Heat Kernel Estimate and Protodistance von Kigami, Jun

“… In this paper, time changes of the Brownian motions on generalized Sierpinski carpets including …”
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Resistance forms, quasisymmetric maps and heat kernel estimates von Kigami, Jun

“… The problem is when and how one can find such a metric. In this paper, we consider the above problem in the case of stochastic processes associated with Dirichlet forms derived from resistance forms …”
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The complex variable reproducing kernel particle method for bending problems of thin plates on elastic foundations von Chen, L., Cheng, Y. M.

“… In this paper, the complex variable reproducing kernel particle method (CVRKPM) for solving the bending problems of isotropic thin plates on elastic foundations is presented …”
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Szegő kernel asymptotics for high power of CR line bundles and Kodaira embedding theorems on CR manifolds von Hsiao, Chin-Yu

“… Let …”
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Stability of heat kernel estimates for symmetric non-local Dirichlet forms von Chen, Zhen-Qing, Kumagai, Takashi, Wang, Jian

“… In this paper, we consider symmetric jump processes of mixed-type on metric measure spaces under general volume doubling condition, and establish stability of two-sided heat kernel estimates and heat kernel upper bounds …”
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Kernel smoothing: principles, methods and applications von Ghosh, Sucharita

“… Comprehensive theoretical overview of kernel smoothing methods with motivating examples Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric …”
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Positive Gaussian Kernels also Have Gaussian Minimizers von Barthe, Franck, Wolff, Paweł

“… We study lower bounds on multilinear operators with Gaussian kernels acting on Lebesgue spaces, with exponents below one …”
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Kernel adaptive filtering: a comprehensive introduction von Príncipe, J. C, Liu, Weifeng, Haykin, Simon S

“… Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced …”
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Kernel smoothing in MATLAB: theory and practice of kernel smoothing. von Horová, Ivana, Horová, Ivana, Koláček, Jan, Zelinka, Jiří

“… Methods of kernel estimates represent one of the most effective nonparametric smoothing techniques …”
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Algebras of Singular Integral Operators with Kernels Controlled by Multiple Norms von Nagel, Alexander, Ricci, Fulvio, Stein, Elias M., Wainger, Stephen

“… We study algebras of singular integral operators on …”
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Kernels for structured data von Gartner, Thomas

“… Kernel methods are a class of state-of-the-art learning algorithms that exhibit excellent learning results in several application domains …”
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The complex variable reproducing kernel particle method for the analysis of Kirchhoff plates von Chen, L., Cheng, Y. M., Ma, H. P.

“… In this paper, the complex variable reproducing kernel particle method (CVRKPM) for the bending problem of arbitrary Kirchhoff plates is presented …”
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KAF + RSigELU: a nonlinear and kernel-based activation function for deep neural networks von Kiliçarslan, Serhat, Celik, Mete

“… Activation functions (AFs) are the basis for neural network architectures used in real-world problems to accurately model and learn complex relationships between variables …”
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Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression von Bobb, Jennifer F., Claus Henn, Birgit, Valeri, Linda, Coull, Brent A.

“… ), has been developed. This method estimates the multivariable exposure-response function in a flexible and parsimonious way, conducts variable selection …”
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Bayesian optimization of variable-size design space problems von Pelamatti, Julien, Brevault, Loïc, Balesdent, Mathieu, Talbi, El-Ghazali, Guerin, Yannick

“… Within the framework of complex system design, it is often necessary to solve mixed variable optimization problems, in which the objective and constraint functions can depend simultaneously …”
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The complex variable reproducing kernel particle method for two-dimensional inverse heat conduction problems von Weng, Y.J., Zhang, Z., Cheng, Y.M.

“… The complex variable reproducing kernel particle method (CVRKPM) for two-dimensional inverse heat conduction problems is presented in this paper …”
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Complex Correntropy with Variable Center: Definition, Properties, and Application to Adaptive Filtering von Dong, Fei, Qian, Guobing, Wang, Shiyuan

“… ) algorithm has been proved to be robust to non-Gaussian noises. However, the kernel function of the complex correntropy is usually limited to a Gaussian function whose center is zero …”
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An Evaluation of Equity Premium Prediction Using Multiple Kernel Learning with Financial Features von Arratia, Argimiro, Belanche, Lluís A., Fábregues, Luis

“… For this new approach to equity premium forecasting, kernel functions for time series are used with multiple kernel learning (MKL …”
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The stresses components in position and time of weakened plate with two holes conformally mapped into a unit circle by a conformal mapping with complex constant coefficients von Alhazmi, Sharifah E., Abdou, M. A., Basseem, M.

“… Then, after applying the complex variable method, one can obtain a closed form of Gaursat functions. Some applications were discussed and the time effect on the applications was studied. In addition, the different stress components in each application have also been calculated using Maple 2022.1 …”
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