In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
Xiaofeng Wu, Peter J. F. Lucas, Susan Kerr, Roelf ...
This survey studied the expectations of Software Engineering graduate students who took an HCI course, regarding the interaction of engineers and HCI practitioners in their future...
In an environment where the contexts of users are complex and the degree of freedom of user activity is very high, such as in daily life, several factors need to be considered for...
Hyoungnyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim, Ji-Hy...
This paper gives an information theoretic approach for detecting Byzantine modifications in networks employing random linear network coding. Each exogenous source packet is augmen...
Tracey Ho, Ben Leong, Ralf Koetter, Muriel M&eacut...
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...