Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
Abstract. We present an approach for automated generation of proactive aggregation protocols using Genetic Programming. First a short introduction into aggregation and proactive pr...
Abstract. This paper reviews recent developments in our project that are focused on dynamic data-driven methods for efficient and reliable simulation based optimization, which may...
This paper describes a general framework for the detection and tracking of traffic and road signs from image sequences using only color information. The approach consists of two in...
Abstract We have previously proposed an expressive UML-based language for constructing and transforming security-design models, which are models that combine design specifications...