Recent research has found that diagnostic performance with Bayesian belief networks is often surprisingly insensitive to imprecision in the numerical probabilities. For example, t...
Max Henrion, Malcolm Pradhan, Brendan Del Favero, ...
Loopy belief propagation has been employed in a wide variety of applications with great empirical success, but it comes with few theoretical guarantees. In this paper we analyze t...
Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Wills...
Abstract. We study the problem of global predicate detection in presence of permanent and transient failures. We term the transient failures as small faults. We show that it is imp...
Traditional attack detection schemes based on packets or flows have very high computational complexity. And, network based anomaly detection schemes can reduce the complexity, but...
Abstract. In this paper we have developed a method for an efficient Quality-ofService provision and adaptation in dynamic, heterogeneous systems, based on our Matrix framework for...