This paper describes the application of well-known «transformation-based learning» algorithm of automatic rule generation for the task of part-of-speech tagging. Algorithm is applied to corpora of annotated Russian texts and accuracy as well as most significant rules are shown.
The features of the interaction of applied and fundamental sciences in addressing the challenges of the organization and the development of innovation. Considered a motivational mechanism innovation, formed subjectively person in accordance with its value orientatio
In the article the author presents reflections of the business community on Russia`s proposed three-year budget, development institutions` role in Russia`s economy and possible growth centers. The article also covers the topic of the government`s credibility and business environment improvement. The author puts forward his vision on the Bank of Russia`s bill introducing a new type of credit companies.
The Article is focused on a problem of forecasting demand for cash money in ATMs of a commercial Bank. The solution of the forecasting problem let us optimize the processes of liquidity management, cash management and ATM service by the collection service. The method of machine learning - neural network-is used to obtain the forecast of cash turnover. The authors made and trained a model of a multilayer perceptron with one hidden layer in the Python 3 programming language using the Keras library, as well as a model of a recurrent neural network. As a result, the forecast of peaks and declines in demand for cash at the Bank's ATMs was obtained. Based on the forecast load management of ATMs ensures minimal maintenance costs and keep money in the ATM. The algorithm can be replicated to the entire ATM network, as well as applied to another commercial banks.
The article examines the main features of additional professional education, trends of Russian educational market in this segment and marketing instruments for effective promotion od educational programs.
First introduced in this article for consideration of the broad scientific society are the case studies, displaying systematized description of the episode, taken from the recent home economy’s history. With a clear example of the intergovernmental agreement between Russia and the USA, unratified in Russian Parliament in 1992, the author is convincingly demonstrating some oversea partners’ ability to pursue exceptionally their own purposes. The last are not always consistent with the national interests of the country, receiving foreign aid, as directly contradictory to them in some specific cases. The author aimed to provide maximum details, describing the international context of the given episode, the particular aspects of home social and economic situation, thus taking a closer look at the event itself. Academician of RAS Professor L.I. Abalkin, Doctor of economics was mentioned as the participant of the events, which once more implied a strong social position and patriotism of the renowned scientist.
State of economy, investment activity of business, interaction of business and authorities: old problems, new format of relations.
In the modern Russian economy in recent years, digital technologies are becoming increasingly important, which are used at all stages of economic activity: production, distribution, redistribution and consumption. The development of digital technology leads to the growth of the economy. However, this development leads to growth and shadow elements. The paper discusses the advantages of digital business for the country's economy, the main aspects of the digital shadow economy, its dynamics is studied and a preliminary calculation of the shadow estimates in the digital economy in the RF is made
The article defines the importance of studying the residents’ equity in place marketing. Several current approaches to determining the residents’ equity are highlighted. In conclusion, the approach to determining the residents’ equity in place marketing is stated.
The article presents the author's economic and mathematical modelof long-term forecasting of socio-economic development. The modeltakes into account the factor of exponential growth and cyclical devel- opment of the economy. Author's model can be used in both the mac-roeconomic and microeconomic planning in the long and short termperiod. The approbation of a mathematical model based on the actualvalues of the Dow Jones Indices. As data to build predictive data se-lected gold prices