Securely accessing unfamiliar services in public environments using ad hoc wireless networks is challenging. We present a proxy-based approach that uses other existing network cha...
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
This paper presents a novel context-based approach to find reliable recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the userā...
In this paper we study a dynamic sensor selection method for Bayesian ļ¬ltering problems. In particular we consider the distributed Bayesian Filtering strategy given in [1] and sh...