Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...
We propose the first model of stateful firewalls. In this model, each stateful firewall has a variable set called the state of the firewall, which is used to store some packet...
In this paper we provide a bridge between the infinite state models used in control theory to describe the evolution of continuous physical processes and the finite state models ...
This paper presents a new information visualization framework that supports the analytical reasoning process. It consists of three views - a data view, a knowledge view and a navi...
We investigate a hybrid method which improves the quality of state inference and parameter estimation in blind deconvolution of a sparse source modeled by a Bernoulli-Gaussian pro...