Abstract: We consider deep neural networks (DNNs) with a Lipschitz continuous activation function and with weight matrices of variable widths. We establish a uniform convergence analysis framework in ...

Javascript does not provide type safety, so a variable can have any type and our Companion variables follow that behavior. Some of the modules make use of this and also expressions can handle ...

Department of Chemistry, Faculty of Science, Mansoura University, El-Gomhoria Street, Mansoura 35516, Egypt Department of Chemistry, Faculty of Applied Science, Taiz University, Habil Salman street, ...

School of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou 510515, China Guangdong Provincial Key Laboratory of Immune Regulation and Immunotherapy, Guangzhou 510515, ...

Background: In a recent study of Norwegian children (N = 874), Halse et al. used random-intercept cross-lagged panel models (RI-CLPM) and concluded that their findings supported the assumption that ...

A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.

Abstract: This article presents a novel variable-parameter variable-activation-function finite-time neural network (VPA-FTNN) to deal with joint-angle drift issues of redundant-robotic arms. Different ...

Many types of economic problems require that we consider two variables at the same time. A typical example is the relation between price of a commodity and the demand or supply of that commodity. The ...

ABSTRACT: This paper, comparison of two sample tests, is motivated by the fact that in the test of significant difference between two independent samples, numerous methods can be adopted; each may ...