Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...
The aim of this paper is to present an evolutionary system for classification problem called GAPBNF_Rule. GAPBNF_Rule is a powerful evolutionary method that distinguishes between ...
We present the motivation, design, implementation, and performance evaluation of a UNIX kernel mechanism capable of establishing fast in-kernel data pathways between I/O objects. ...
We have de ne a network programming model called Mobile Assistant Programming (MAP) for development and execution of communication applications in large scale networks of heteroge...
The importance of accounting for interrupts in multiprocessor real-time schedulability analsysis is discussed and three interrupt accounting methods, namely quantum-centric, task-...