Within this work, the application of the criterion based on correlation coefficient for comparative assessment of speech quality in speech rehabilitation for patients after surgical treatment of speech-producing tract oncological diseases is considered. The sequence of the actions intended for receiving comparative assessment of the speech quality by comparison of the sound recordings made before and after operation is considered. As a material for the assessment, a set of syllables from Standard GOST 50840-95 Speech transmission over varies communication channels. Techniques for measurements of speech quality, intelligibility, and voice identification are used. Also, a set of syllables, compiled on the basis of the analysis of most prone to postoperative change phonemes, is used. The previously proposed criteria based on the comparison of the intensity of time-normalized syllable records spectra have a fundamental drawback. They need an additional normalization of signal power. The proposed approach, based on the use of the linear correlation coefficient as a measure of similarity, does not have this drawback. The comparability of the values received using new criterion with the values received using previous version of the criteria is shown. Results of comparison confirm the possibility of the new criterion practical use.

As a result of the climate change the situation in Arctic area leads to several important consequences. On the one hand, fossil fuels can be exploited much easier than before. On the other hand, their excavation leads to serious potential threats to fishing by changing natural habitats which in turn creates serious damage to the countries’ economies. Another set of problems arises due to the extension of navigable season for shipping routes. Thus, there are already discussions on how should resources be allocated among countries. In Aleskerov and Victorova (An analysis of potential conflict zones in the Arctic Region, HSE Publishing House, Moscow, 2015) a model was presented analyzing preferences of the countries interested in natural resources and revealing potential conflicts among them. We present several areas allocation models based on different preferences over resources among interested countries. As a result, we constructed several allocations where areas are assigned to countries with respect to the distance or the total interest, or according to the procedure which is counterpart of the Adjusted Winner procedure. We consider this work as an attempt to help decision-making authorities in their complex work on adjusting preferences and conducting negotiations in the Arctic zone. We would like to emphasize that these models can be easily extended to larger number of parameters, to the case when some areas for some reasons should be excluded from consideration, to the case with ‘weighted’ preferences with respect to some parameters. And we strongly believe that such models and evaluations based on them can be helpful for the process of corresponding decision making.

We propose a new machine learning concept called Randomized Machine Learning, in which model parameters are assumed random and data are assumed to contain random errors. Distinction of this approach from “classical” machine learning is that optimal estimation deals with the probability density functions of random parameters and the “worst” probability density of random data errors. As the optimality criterion of estimation, randomized machine learning employs the generalized information entropy maximized on a set described by the system of empirical balances. We apply this approach to text classification and dynamic regression problems. The results illustrate capabilities of the approach.

Рассматриваются проблемы управления в области обеспечения безопасности дорожного движения, развивается системный подход к решению этих проблем на основе программно-целевого управления. Дается описание математических моделей и механизмов обеспечения безопасности дорожного движения. Это, в первую очередь, механизмы комплексного оценивания применительно к оценке деятельности органов Государственной инспекции безопасности дорожного движения, методы разработки программ повышения уровня безопасности дорожного движения с учетом фактора надежности (вероятности реализации программы).