Results 231 to 240 of about 33,561,195 (290)

Variation in seed and kernel oil characteristics of wild Litsea cubeba influenced by major ecological factors across southern China. [PDF]

BMC Plant Biol
Liao G, Pan X, Ning X, Fan G, Chen S, Zhang L, Wang Z, Yang Y, Wang J.   +8 more
europepmc   +1 more source

ZmSSRP1-mediated chromatin accessibility modulates maize development via regulation of ZmBRD1 transcription. [PDF]

Plant Physiol
Wu J, Wang Y, Zheng G, Yan R, Pu M, Zhao Y, Zhang Z, Ding H, Wang Y, Luo C, Zhang X, Zhou C, Zhao X.   +12 more
europepmc   +1 more source

An Operator Analysis on Stochastic Differential Equation (SDE)-Based Diffusion Generative Models. [PDF]

Entropy (Basel)
Wu Y, Kawahara Y.
europepmc   +1 more source

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Piecewise reproducing kernel method for linear impulsive delay differential equations with piecewise constant arguments

Applied Mathematics and Computation, 2019
In this paper, we introduce a piecewise reproducing kernel method for impulsive delay differential equations with piecewise constant arguments. The method is an improved reproducing kernel method.
Boying Wu, Xiuying Li
exaly   +2 more sources

A novel method for a fractional derivative with non-local and non-singular kernel

Chaos, Solitons and Fractals, 2018
Atangana and Baleanu gave a derivative with fractional order to search the valuable inquiries. We present a novel technique for investigating fractional differential equations including the Atangana-Baleanu fractional derivative in this paper.
Ali AKGÜL
exaly   +2 more sources

Predictive Nyström method for kernel methods

Neurocomputing, 2017
Nystrm method is a widely used matrix approximation method for scaling up kernel methods, and existing sampling strategies for Nystrm method are proposed to improve the matrix approximation accuracy, but leaving approximation independent of learning, which can result in poor predictive performance of kernel methods.
Lizhong Ding, Shizhong Liao
exaly   +2 more sources

Low Rank Component Induced Spatial-Spectral Kernel Method for Hyperspectral Image Classification

IEEE transactions on circuits and systems for video technology (Print), 2020
Kernel methods, e.g., composite kernels (CKs) and spatial-spectral kernels (SSKs), have been demonstrated to be an effective way to exploit the spatial-spectral information nonlinearly for improving the classification performance of hyperspectral image ...
Le Sun, Chenyan Ma, Yunjie Chen, Yuhui Zheng, H. Shim, Zebin Wu, B. Jeon   +6 more
semanticscholar   +1 more source

Reproducing kernel method for Fangzhu's oscillator for water collection from air

Mathematical methods in the applied sciences, 2020
In this article, reproducing kernel method is used to approximate nonlinear oscillator in order to reveal main factors affecting the usefulness of an ancient water collection device known as Fangzhu, that is, the surface temperature, the air velocity ...
Ali Akgül, Hijaz Ahmad
semanticscholar   +1 more source

Kernel method for overlapping coefficients estimation

Communications in statistics. Simulation and computation, 2020
Most studies of estimating overlapping coefficients assume two specific parametric models for population densities. The methods that used such of this assumption are called parametric methods, which work well when these model assumptions are valid ...
Omar M. Eidous, Saif Al-Deen A. AL-Talafha   +1 more
semanticscholar   +1 more source