Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Research in context-aware computing has produced a number of application prototypes, frameworks, middlewares and models for describing context. However, development of ubiquitous ...
The paper is dedicated to an open T-system (OpenTS) — a programming system that supports automatic parallelization of computations for high-performance and distributed applicatio...
Sergey Abramov, Alexey I. Adamovich, Alexander Iny...
—Current trends in desktop processor design have been toward many-core solutions with increased parallelism. As the number of supported threads grows in these processors, it may ...
Two object-oriented programming language paradigms— dynamic, prototype-based languages and multi-method languages— provide orthogonal benefits to software engineers. These two...