A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...
— In this paper, we study the problem of delay defect diagnosis based on statistical timing models. We propose a diagnosis algorithm that can effectively utilize statistical timi...
Modern applications demand support for a large number of clients and require large scale storage subsystems. This paper presents a theoretical model of prefetching and caching of s...
In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...
The major concerns in state-of-the-art model reduction algorithms are: achieving accurate models of sufficiently small size, numerically stable and efficient generation of the mod...
Joel R. Phillips, Luca Daniel, Luis Miguel Silveir...