We present an introspection/reflection framework for SystemC which extracts design-relevant structure information and transaction data under any LRM-2.1 compliant simulation kern...
Structured Peer-to-Peer systems are designed for a highly scalable, self organizing, and efficient lookup for data. The key space of the so-called Distributed Hash Tables (DHTs) ...
Simon Rieche, Klaus Wehrle, Leo Petrak, Clemens Wr...
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
It is often useful to get high-level views of datasets in order to identify areas of interest worthy of further exploration. In relational databases, the high-level view can be de...
One objective of knowledge acquisition using inductive modeling has been the development of correct and effectively computable descriptions that can also be assimilated and used b...