Прогноз результатов чемпионата мира-2015 по легкой атлетике ме-тодами искусственного интеллекта
A computer program intended for detecting regularities and forecasting the results of men’s 100 m of the World Cup -2015 in track and field athletics is developed. The neural network based on the results of the previous World Cups and the Olympic Games lies in the heart of the program. The error of forecasts is no more than three percent. Besides forecasts the program allows to estimate the influence of the parameters’ change characterizing athletes on heir sports results, and also to select optimum combinations of these parameters for each athlete. The dependences of probability of a victory in the World Cup from age, weight, muscular weight, starting reaction and other parameters are received for some well-known athletes. By research of neuronetwork mathematical model recommendations about improvement of productivity of well-known athletes are developed: Useyn Bolte, Tyson Gay, Christoff Lemetr, Nessa Carter, Johan Blake and Justin Getlin.
The article considers the issues of business competition and cooperation. There presented the market type matrix based on «cooperation-competition» criteria. The concepts of competition marketing and relations with competitors are defined. The concept of marketing communications is specified. The analysis of the main methods of cooperation is carried out.
This is the first paper on consumer search where the cost of going back to stores already searched is explicitly taken into account. We show that the optimal sequential search rule under costly second visits is very different from the traditional reservation price rule in that it is nonstationary and not independent of previously sampled prices. We explore the implications of costly second visits on market equilibrium in two celebrated search models. In the Wolinsky model some consumers search beyond the first firm and in this class of models costly second visits do make a substantive difference: equilibrium prices under costly second visits can both be higher and lower than their perfect recall analogues. In the oligopoly search model of Stahl where consumers do not search beyond the first firm, there remains a unique symmetric equilibrium that has firms use pricing strategies that are identical to the perfect recall case.
This empirical paper adds to competition and industrial organization literature by exploring the interplay between industry structure and competitiveness on local, rather than nation-wide, markets. We use micro-level statistical data for banks in two Russian regions (Bashkortostan and Tatarstan) to estimate Herfindahl-Hirschman index, Lerner index, and Panzar-Rosse model. We estimate Panzar-Rosse model in two ways: via the widely used price-equation that accounts for scale effects and then via a revenue-equation that disregards scale effects as suggested by Bikker, Shaffer and Spierdijk (2009). We find both regional markets to be ruled by monopolistic competition, although estimation by revenue-equation does not reject monopoly hypothesis for Tatarstan. Existence of sizeable locally-owned and operated institutions does not necessarily lead to higher competitiveness of the given regional market. Non-structural methods of estimation suggest that bank competition in Bashkortostan is stronger than in Tatarstan.
This paper examines determinants of corruption across Russian regions. Key contributions include: (i) a formal study of economic corruption determinants across Russian regions; (ii) comparisons of determinants of perceived corruption versus those of actual corruption; and (iii) studying the influence of market competition and other factors on corruption. The re-sults show that economic prosperity, population, market competition and urbanization are significant determinants of Russian corruption. The use of alternative corruption measures reveals that economic prosperity and population have a largely similar impact on corrup-tion perceptions and corruption incidence. However, there are significant differences in the effects of competition and urbanization.
This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised full papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on data mining in medicine and biology; data mining for energy industry; data mining in traffic and logistic; data mining in telecommunication; data mining in engineering; theory in data mining; theory in data mining: clustering; theory in data mining: association rule mining and decision rule mining.
This study analyzes the effects of reducing trade barriers in the context of the objectives of competition policy. Separate chapters are devoted to the assessment of the height of Russian trade barriers, the analysis of the impact of international trade on domestic prices and concentration of production.
We consider certain spaces of functions on the circle, which naturally appear in harmonic analysis, and superposition operators on these spaces. We study the following question: which functions have the property that each their superposition with a homeomorphism of the circle belongs to a given space? We also study the multidimensional case.
We consider the spaces of functions on the m-dimensional torus, whose Fourier transform is p -summable. We obtain estimates for the norms of the exponential functions deformed by a C1 -smooth phase. The results generalize to the multidimensional case the one-dimensional results obtained by the author earlier in “Quantitative estimates in the Beurling—Helson theorem”, Sbornik: Mathematics, 201:12 (2010), 1811 – 1836.
We consider the spaces of function on the circle whose Fourier transform is p-summable. We obtain estimates for the norms of exponential functions deformed by a C1 -smooth phase.