Abstract Support vector classification (SVC) is a classical and well-performed learning method for problems. A regularization parameter, which significantly affects the performance, has to be chosen this usually done by cross-validation procedure. In paper, we reformulate hyperparameter selection problem support as bilevel optimization in upper-level minimizes average number of misclassified da...

The electronic structure, Non-Linear Optical (NLO) properties and Natural Bonding Orbital (NBO) analysis of 1,4-dioxane were investigated using the theoretical study of Density Functional Theory (DFT) calculations at the B3LYP/6-311G (d,p) level of theory. The optimized structure is nonlinear as indicated from the dihedral angles.  Natural bonding orbital analysis has been analyzed in terms...

Myosin V was the first discovered processive motor from the myosin family. It has therefore been subject of a number of mechanical, kinetic, optical and structural studies and now belongs to the best characterised motor proteins. This effort has been accompanied by a number of different theoretical models. In this article we give an overview of them and discuss what they have in common and wher...

The paper presents a set-theoretical definition of the classification problem, and then discusses and illustrates by examples the application of the variable-valued logic system VL. to the synthesis of minimal (or simplest) classification rules under cost (or simplicity) functionals designed by a user from available criteria.

This paper addresses the question whether innovation is within reach for small enterprises in developing economies by studying four cases of new technologies, products and business practices in traditional craft in Northern Vietnam. The paper starts with reviewing definitions of innovation since Schumpeter. It concludes that newness, value creation and process are time and again considered as t...