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...
In the context of digital pre-distortion, a typical requirement is to identify the power amplifier with stringently low computational complexity. Accordingly, we consider a simpl...
This paper concerns TCP Westwood, a recently developed modification of TCP, in combination with RED queue management. We develop a fluid-flow model of the protocol, and use it to s...
Jiwei Chen, Fernando Paganini, M. Y. Sanadidi, Ren...
Abstract. In this paper we consider two performance modelling techniques from the perspectives of model construction, generation of an underlying continuous time Markov process, an...
With the proliferation of user-generated articles over the web, it becomes imperative to develop automated methods that are aware of the ideological-bias implicit in a document co...