Our mission is to leverage the methods of machine learning and game theory for addressing relevant applications both in recreational games and in abstract decision games played in the real world.
Handcock, M.S., Raftery, A.E. and Tantrum, J. (2005).
Model-Based Clustering for Social Networks.
Working Paper no. 46, Center for Statistics and the Social Sciences,
University of Washington.
G. Salton, und C. Buckley. SIGIR '88: Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval, Seite 147--160. New York, NY, USA, ACM Press, (1988)
C. Schmitz, A. Hotho, R. Jäschke, und G. Stumme. Data Science and Classification (Proc. IFCS 2006 Conference), Seite 261-270. Berlin/Heidelberg, Springer, (Juli 2006)Ljubljana.