In this paper we study the long standing problem of information extraction from multiple linear approximations. We develop a formal statistical framework for block cipher attacks b...
The transfer of tacit knowledge is important in ensuring that an organisations most valuable assets do not walk out the door. While much controversy surrounds the definition of ta...
Abstract. We present a Bayesian approach for simultaneously estimating the number of people in a crowd and their spatial locations by sampling from a posterior distribution over cr...
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Data Grids provide geographically distributed resources for large-scale data-intensive applications that generate large data sets. However, ensuring efficient access to such huge...
Houda Lamehamedi, Zujun Shentu, Boleslaw K. Szyman...