Unsupervised representation learning is one of the most important problems in machine learning. Recent promising methods are based on contrastive learning... H Sasaki,T Takenouchi 被引量: 0发表: 2021年 Dimensional reduction in nonlinear estimation of multiscale systems State or signal estimation of st...
One reason for using the expected frequency curve as the preliminary estimate is that it reduces problems due to a restriction in range that are known to be a concern when using the normal kernel as described in Section 3.2.1. Harpole et al. (2014) compared several kernel density estimators...
Why this is so, is only partially understood; it is likely that few-electron, few-state systems are the most challenging cases for TDDFT and that often real systems are complex and large enough that e.g., peaks have significant widths and blur some of the problems discussed here. It is...
3.1. Data Analysis Data are divided in intervals of high and low cone angles and high and low plasma 𝛽β. For a given subset, we obtain the density spectrum as the median of the spectrum of each interval. We then fitted the median spectrum to a piecewise function composed of three pow...
Via dimensional analysis, it is beneficial to consider a large rotor diameter to enhance the energy density. Size effects could reduce the environmental impact per TWh of production. It has been found this can be reduced by 14% for every doubling in the rated power (i.e., a larger rotor ...
An error estimate is presented for a fully discrete, linearized and stabilized finite element method for solving the coupled system of nonlinear hyperbolic and parabolic equations describing incompressible flow with variable density in a two-dimensional convex polygon. In particular, the error of the nu...
Theoretical analysis of the worthiness of Henry and Elder problems as benchmarks of density-dependent groundwater flow models Computer models must be tested to ensure that the mathematical statements and solution schemes accurately represent the physical processes of interest. Bec... MJSP Clement - ...
We introduce a block Lanczos (BL) recursive technique to construct quasi-one-dimensional models, suitable for density-matrix renormalization group (DMRG) calculations, from single- as well as multiple-impurity Anderson models in any spatial dimensions. This new scheme, named BL-DMRG method, allows ...
VELOCITY DENSITY PLANE WAVES INVERSE PROBLEMS SCATTERING TWO DIMENSIONAL FOURIER ANALYSIS WEIGHTING FUNCTIONS BROADBAND GEOMETRY DOI: 10.1190/1.1892166 被引量: 1 年份: 1988 收藏 引用 批量引用 报错 分享 全部来源 免费下载 求助全文 Semantic Scholar AIP ResearchGate core.kmi.open.ac.uk mendeley.com 查看...
To solve these problems, we propose an improved clustering algorithm and construct an efficient policy evaluation engine. Our contributions are described as follows. (1) In order to better deal with large-scale complex policy sets, an optimization algorithm based on the DPCA (Density Peak Cluster...