dual spacization of publishing means emergence of digital publishing in online and offline virtual environments along with analogue publishing. analogue publishing is a kind of publishing that is produced in the form of physical printed writings as they appear in a single paper, single or many pages newspapers and magazines and books, writings on leaves and pieces of trees, natural skin and lea...

Consider a supervised learning problem in which examples contain both numericaland text-valued features. To use traditional featurevector-based learning methods, one could treat the presence or absence of a word as a Boolean feature and use these binary-valued features together with the numerical features. However, the use of a text-classification system on this is a bit more problematic — in t...

Consider a supervised learning problem in which examples contain both numericaland text-valued features. One common approach to this problem would be to treat the presence or absence of a word as a Boolean feature, which when combined with the other numerical features enables the application of a range of traditional feature-vector-based learning methods. This paper presents an alternative appr...

Consider a supervised learning problem in which examples contain both numericaland textvalued features. To use traditional feature-vector-based learning methods, one could treat the presence or absence of a word as a Boolean feature and use these binary-valued features together with the numerical features. However, the use of a text-classification system on this is a bit more problematic—in the...

We study semilinear evolution equations [Formula: see text] posed on a Hilbert space [Formula: see text], where A is normal and generates a strongly continuous semigroup, B is a smooth nonlinearity from [Formula: see text] to itself, and [Formula: see text], [Formula: see text], [Formula: see text]. In particular the one-dimensional semilinear wave equation and nonlinear Schrödinger equation wi...

In this study, we propose a method for encoding documents into string vectors, instead of numerical vectors. A traditional approach to text categorization usually requires encoding documents into numerical vectors. The usual method of encoding documents therefore causes two main problems: huge dimensionality and sparse distribution. In this study, we modify or create machine learning-based appr...

Nowadays, materials to protect equipment from unwanted multispectral electromagnetic waves are needed in a broad range of applications including electronics, medical, military and aerospace. However, the shielding currently use bulky work effectively only limited frequency range. Therefore, nanostructured under investigation by relevant scientific community. In this framework, design nanomateri...