Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Many distributed multimedia applications have the ability to adapt to uctuations in the network conditions. By adjusting temporal and spatial quality to available bandwidth, or man...
Software testability, the tendency for software to reveal its faults during testing, is an important issue for veri cation and quality assurance. Testability measurement can also b...
State Space Analysis is one of the most developed analysis methods for Petri Nets. The main problem of state space analysis is the size of the state spaces. Several ways to reduce ...
Traffic measurement is a critical component for the control and engineering of communication networks. We argue that traffic measurement should make it possible to obtain the spati...