Sparse logistic regression (SLR), which is widely used for classification and feature selection in many fields, such as neural networks, deep learning, and bioinformatics, is the classical logistic ...

The main purpose of twin support vector regression (TSVR) is to find linear or nonlinear relationships in sample data, and then predict future data. TSVR is the decomposition of a large convex ...

1 INTRODUCTION The main goal of this paper is to develop a credible dynamic model of the multiple trailers on a tractor system for the production logistics application i.e. logistic train. This ...