Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff:...
Linear models can't keep up with sport gender gap. Presents a letter to the editor about the efficiency of women athletes. Reinboud,Weia - 《Nature》 被引量: 87发表: 2004年 After Liberalism: Mass Democracy in the Managerial State The gender gap in voting , which is now at about 10 ...
Linear models, such as force constant (FC) and cluster expansions, play a key role in physics and materials science. While they can in principle be parametrized using regression and feature selection approaches, the convergence behavior of these techniques, in particular with respect to thermodynamic...
a,b, The general category of computational models \({{{\mathcal{M}}}\) studied in this work, represented by an ODE describing the resting-state evolution of internal states x(t) (a) and an output model that maps internal states to fMRI/iEEG time series y(t), as shown for fMRI (...
Let's say that you've the first of every month for one year been counting the amount of people on a subway platform each morning between 9 and 10 o'clock. You've summarized your result in a table.Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Number of people 20 100 105...
Liu, X.-Q., Rong, J.-Y., Liu, X.-Y.: Best linear unbiased prediction for linear combinations in general mixed linear models. J. Multivar. Anal.99(8), 1503–1517 (2008) ArticleMathSciNetGoogle Scholar Stein, M.L.: Interpolation of spatial data : some theory for kriging. Springer ...
Visualizing Hypothesis Tests in Multivariate Linear Models Version 1.7.4 Description Theheplotspackage provides functions for visualizing hypothesis tests in multivariate linear models (MANOVA, multivariate multiple regression, MANCOVA, and repeated measures designs). ...
F.: 1965 Displacement and equilibrium models in the finite element method. Stress Analysis. New York: Wiley. (38). Google Scholar Ericksen, J. L.: 1965 Nonexistence theorems in linearized elastostatics. J. Diff. Eqts. 1, 446–451. (33). MATH Google Scholar Friedrichs, K. O., and...
(1 / \delta)}{n}} ,以概率 1-\delta 成立\begin{aligned} \operatorname{MSE}\left(\varphi_{\hat{\theta}^\mathcal{L}}\right) \leq \inf _{\substack{\theta \in \mathbb{R}^M \\ |\theta|_0 \leq k}}\left\{\frac{1+\alpha}{1-\alpha} \operatorname{MSE}\left(\varphi_\theta...
The chapter focuses on several modeling tricks that enable generation of linear models in the presence of special types of non-linear expressions or in the presence of logic conditions between real/integer variables and/or between binary variables. Typically, a MILP model is considered "good" if ...