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 design of an electronic archive of digitized images of thousands of x-rays collected as part of nationwide health surveys has raised several issues related to user interface d...
This paper investigates the practical issues in applying network tomography to monitor failures. We outline an approach for selecting paths to monitor, detecting and confirming th...
Selecting a strong cryptographic algorithm makes no sense if the information leaks out of the device through sidechannels. Sensitive information, such as secret keys, can be obtai...
Abstract. We describe two methods on the basis of which efficient resolution decision procedures can be developed for a range of description logics. The first method uses an orderi...