Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
Background: Recent advances with high-throughput methods in life-science research have increased the need for automatized data analysis and visual exploration techniques. Sophisti...
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Traditional process support systems typically offer a static composition of atomic tasks to more powerful services. In the real world, however, processes change over time: busines...
Synchronous groupware applications support people collaborating in real time over a distance. The world wide web supports asynchronous collaboration by allowing people to share dis...