We propose an approach for timing analysis of software-based embedded computer systems that builds on the established probabilistic framework of Bayesian networks. We envision an ...
- As is generally accepted, the most important feature that a Knowledge Discovery in Database (KDD) system must possess is, to be able to discover patterns that are "novel&quo...
Ying Xie, Manmathasivaram Nagarajan, Vijay V. Ragh...
—In this paper, we propose a probabilistic algorithm for detecting near duplicate text, audio, and video resources efficiently and effectively in large-scale P2P systems. To thi...
Odysseas Papapetrou, Sukriti Ramesh, Stefan Siersd...
Abstract. Quantitative verification techniques are able to establish system properties such as "the probability of an airbag failing to deploy on demand" or "the exp...
This paper introduces an information theoretic approach to verification of modular causal probabilistic models. We assume systems which are gradually extended by adding new functi...