classification

Силуети кольору та яскравості зображень для їх класифікації та пошуку

Для зменшення часових затрат пошуку зображень у базах даних великих розмірів запропоновано підхід, що ґрунтується на визначенні силуетів яскравості зображень різних типів: фронтального та бічного для двох видів яскравості. Подальше приско- рення пошуку відбувається за рахунок заміни кривих силуетів поліноміальними функціями чебишовського типу. Додатковою ознакою є відстань до піків силуетів. Як приклади практичних даних використано зображення із відомих баз образів. Критеріями прийняті силуети та відстані до них.

On the publicly dangerous content of military administrative offenses

Abstract. Consideration of the provisions related to administrative illegality aimed at encroachment on social relations involves the analysis of its main components and causes of its occurrence in normal conditions of the functioning of society, as well as in special conditions to which the legal regime of martial law belongs. The complexity of the socio-economic and political situation in Ukraine led to the introduction of martial law by the President of Ukraine (February 2022) due to military aggression by the Russian Federation.

Tactical planning methods: meaning and typology in the system of circular business models of enterprises

Purpose. The concept of circular economy (closed-loop economy) emerged as an alternative economic model designed to reduce the negative impact on the environment, solve the problem of resource scarcity, extend the life cycle of products and solve global problems of the world economy and international economic relations on this basis. Obtaining the benefits of implementing circular business models, which consist in increasing the income of the world economy, saving resources, and increasing the number of jobs, requires reasonable and rational planning at enterprises.

PROMETHEE filter-based method for microarray gene expression data

Gene expression datasets have been successfully applied for a variety of purposes, including cancer classification.  The challenges faced in developing effective classifiers for expression datasets are high dimensionality and over-fitting.  Gene selection is an effective and efficient method to overcome these challenges and improve the predictive accuracy of a classifier.  Based on PROMETHEE, this paper introduces a multi-filter ensemble approach by integrating the results of two potential filters namely MaC$\Psi$-filter and PCRWG-filter to pre-select the most informati

Methods and means of determining objects of radio intelligence using the ontological approach

The article is devoted to the study of methods and means of determining objects of radio technical intelligence using machine learning technologies and an ontological approach. A naіve Bayesian classifier was used to identify objects of radio technical intelligence. The Naive Bayes classifier is a machine learning algorithm used to classify objects based on probabilities. In this article, a naive Bayesian classifier is used to determine the classes to which objects of radio technical intelligence belong.

Research into machine learning algorithms for the construction of mathematical models of multimodal data classification problems

Currently, machine learning algorithms (ML) are increasingly integrated into everyday life. There are many areas of modern life where classification methods are already used. Methods taking into account previous predictions and errors that are calculated as a result of data integration to obtain forecasts for obtaining the classification result are investigated. A general overview of classification methods is conducted. Experiments on machine learning algorithms for multimodal data are performed.

PECULIARITIES OF CLASSIFICATION AND USE OF NON-TARIFF REGULATION MEASURES

Purpose. The purpose of the research is to conduct a systematic study of existing classifications of measures of non-tariff regulation of foreign economic activity and analysis of the dynamics of the use of specific methods of non-tariff regulation in Ukraine and the world.

Density based fuzzy support vector machine: application to diabetes dataset

In this work, we propose a deep prediction diabetes system based on a new version of the support vector machine optimization model.  First, we determine three types of patients (noisy, cord, and interior) basing on specific parameters. Second, we equilibrate the clinical data sets by suppressing noisy and cord patients.  Third, we determine the support vectors by solving an optimization program with a reasonable size.

THE METHOD OF BOUNDED CONSTRUCTIONS OF LOGICAL CLASSIFICATION TREES IN THE PROBLEM OF DISCRETE OBJECTS CLASSIFICATION

The problem of constructing a model of logical classification trees based on a limited method of selecting elementary features for geological data arrays is considered. A method for approximating an array of real data with a set of elementary features with a fixed criterion for stopping the branching procedure at the stage of constructing a classification tree is proposed. This approach allows to ensure the necessary accuracy of the model, reduce its structural complexity, and achieve the necessary performance indicators.

Features of formation and development of the english-american legal system

The article analyzes the Anglo-American legal system. The theoretical and practical significance of the scientific analysis of legal systems, in particular the Anglo-American one, is analyzed. The role of legal systems, their classification, the main features of the modern Anglo-American legal family are studied, its main problems are determined. The classification of legal systems into national and supranational aims to reveal the nature of this entity, which is not closed within one state.