Modeling is used to build structures that serve as surrogates for other objects. As children, we learn to model at a very young age. An object such as a small toy train teaches us...
This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify a...
Abstract. We construct an intrusion-resilient symmetric-key authenticated key exchange (AKE) protocol in the bounded retrieval model. The model employs a long shared private key to...
David Cash, Yan Zong Ding, Yevgeniy Dodis, Wenke L...
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
The goal of this paper is to analyse semantics of algorithms with explicit continuous time with further aim to nd approaches to automatize model checking in high level, easily unde...