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.
[updated with Tagommenders paper – thanks Shilad.] The organizers of the World Wide Web conference recently announced the list of accepted papers for this year’s event. In the Social Networks and Web 2.0 track (chaired by Elisa Bertino and Lada...
B. Hoser, A. Hotho, R. Jäschke, C. Schmitz, и G. Stumme. Proceedings of the 3rd European Semantic Web Conference, том 4011 из LNCS, стр. 514-529. Budva, Montenegro, Springer, (июня 2006)
Y. Jin, Y. Matsuo, и M. Ishizuka. Proceedings of the European Semantic Web Conference, ESWC2007, том 4519 из Lecture Notes in Computer Science, Springer-Verlag, (июля 2007)
R. Jäschke, B. Krause, A. Hotho, и G. Stumme. Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008), AAAI Press, (2008)