Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
Web-based application development is a difficult task, since these applications include various features, like graphical interfaces, navigational structures, business models, and ...
In this paper we present a methodology for the evaluation of networked systems communicating using WLAN technology. We show a case study of goal-oriented cooperating robots, for w...
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....