Abstract. Based on the specific characteristics of electronic commerce (ECommerce) requirements for an adequate system support, this contribution gives an overview of the respectiv...
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
To reduce cost and time to market of automotive software systems and simultaneously increase the products' quality, the component paradigm has achieved broad acceptance withi...
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
AI problems such as autonomous robotic exploration, automatic diagnosis and activity recognition have in common the need for choosing among a set of informative but possibly expen...