Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
The main aim of the work presented here is to contribute to computer science advances in the multimodal usability area, in-as-much as it addresses one of the major issues relating...
With the increasing dependence on wireless LANs (WLANs), businesses, educational institutions and other organizations are in need of a reliable security mechanism. The latest secur...
Requirements engineering is a central part of software projects. It is assumed that two third of all errors in software projects are caused by forgotten requirements or mutual misu...