There are a number of competing component models in use today. Most are language-independent, but also platform-dependent and not designed to support a tool-based development para...
Information security evaluation of software-intensive systems typically relies heavily on the experience of the security professionals. Obviously, automated approaches are needed ...
This document formalizes and discusses the implementation of a new, more efficient probabilistic plan recognition algorithm called Yet Another Probabilistic Plan Recognizer, (Yapp...
Christopher W. Geib, John Maraist, Robert P. Goldm...
We present aspects of a simulated based system for analyzing and designing production control systems. The core of the system is a simulation of a manufacturing system operating w...
The learning of probabilistic models with many hidden variables and nondecomposable dependencies is an important and challenging problem. In contrast to traditional approaches bas...