Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
If multicast communication appears as the most efficient way to send data to a group of participants, it presents also more vulnerabilities to attacks and requires services such as...
In the manufacturing domain, few new distributed systems are built ground-up; most contain wrapped legacy components. While the legacy components themselves are already well-teste...
This paper presents a sculptured solid modeling system founded upon dynamic Catmull-Clark subdivision-based solids of arbitrary topology. Our primary contribution is that we integ...
This paper presents the system synthesis techniques available in S3 E2 S, a CAD environment for the specification, simulation, and synthesis of embedded electronic systems that ca...