A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...
: Nowadays information systems are required to adapt themselves dynamically to the ever changing environment and requirements. Architectural reflection represents a principled mean...
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
This paper presents a system level design methodology and its implementation as CAD tool for the optimization of heterogeneous multiprocessor systems. These heterogeneous systems,...
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...