This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...
The research aim of this paper is to represent everydaylife patterns of thought like "Because I know, what you think I think ..." by a process on a machine, which is inv...
This paper addresses the problem of minimizing the average running time of the Las Vegas type algorithm, both in serial and parallel setups. The necessary conditions for the exist...
Oleg V. Shylo, Timothy Middelkoop, Panos M. Pardal...
Development of a research project in Computer Science, integrating a considerable number of research institutions and about 1200 individual researchers all over a country with big...
In many computer vision tasks, scene changes hinder the generalization ability of trained classifiers. For instance, a human detector trained with one set of images is unlikely t...