Abstract High-dimensional linear regression model is the most popular statistical model for high-dimensional data, but it is quite a challenging task to achieve a sparse set of regression coefficients.In this paper, we propose a simple heuristic algorithm to construct sparse high-dimensional linear regression models, calendar which is adapted from

The aim of this study was to assess Eternal Ink Chukes Seasonal Spectrum Set and compare by numerical simulations and analytical models the resistive forces, mechanical power and energy cost using two different types of road helmets (standard vs aero road helmet).An elite cyclist was scanned on the racing bicycle, wearing his competition gear and h

Superior feature extraction, channel selection and classification methods are essential for designing electroencephalography (EEG) classification frameworks.However, the performance of most frameworks is limited by their improper channel selection methods and too specifical design, leading to high computational complexity, non-convergent procedure

This paper presents two different approaches on the basis how to generate constituencies.The first one is based on cluster analysis by means of which approach can get compact constituencies having an approximately equal number of voters.An optimal number of constituencies can be DVD Recorders obtained by using this method.The second approach is bas

Loess has a unique structure and water sensitivity, and the immersion of loess leads to many tunnel lining problems in shallowly buried tunnels.Based on a tunnel in Gansu Province in China, two failure glide planes of a shallowly buried loess tunnel and their immersion modes are summarized.Finite element calculation of the structural Duncan-Chang c