In this article, we propose an optimal method referred to as SPlit for splitting a dataset into training and testing sets. is based on the of support points (SP), which was initially developed finding representative continuous distribution. We adapt SP subsampling from using sequential nearest neighbor algorithm. also extend deal with categorical variables so that can be applied both regression...

Privacy-preserving data splitting is a technique that aims to protect privacy by storing different fragments of in locations. In this work we give new combinatorial formulation the problem. We see problem as purely problem, which have split attributes into way satisfies certain properties derived from processing and constraints. Using formulation, develop algebraic techniques obtain solutions p...

Selecting relevant features associated with a given response variable is an important problem in many scientific fields. Quantifying quality and uncertainty of selection result via false discovery rate (FDR) control has been recent interest. This article introduces data-splitting method (referred to as “DS”) asymptotically the FDR while maintaining high power. For each feature, DS constructs te...

Research has shown that sustained homework effort enhances academic performance and that students’ conscientiousness is a powerful predictor of students’ homework effort. But does homework—as homework proponents claim—in turn also influence the development of conscientiousness over time? In the present study, we examined whether students’ homework effort in two subjects (i.e., mathematics and l...

In this study, different methods for shell splitting and the effect of freezing prior to drying on shell splitting percentage of pistachio were investigated. A completely randomized design was used to investigate the effects of different freezing temperatures (0, -6, -12 and -18°C), different drying temperatures (80, 90 and 100°C) and different cultivars (Akbari and Kalehghouchi) on shell split...

for solving large sparse non-hermitian positive definite linear equations, bai et al. proposed the hermitian and skew-hermitian splitting methods (hss). they recently generalized this technique to the normal and skew-hermitian splitting methods (nss). in this paper, we present an accelerated normal and skew-hermitian splitting methods (anss) which involve two parameters for the nss iteration. w...