tresp.org
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Volker Tresp Professor Ludwig Maximilian University of Munich Principal Research Scientist Siemens Research Interests Machine Learning Semantic Web, Linked Data Statistical Relational Learning Gaussian Processes, Dirichlet Processes Neural Networks, Pattern Recognition Graphical Models, Bayesian Networks Stochastical Systems and Time Series Computational Cognitive Science User Modelling Bioinformatics Information Extraction, Information Retrieval Medical Decision Support Systems Reinforcement Learning and Multi-Agent Systems Biography I received a Diploma degree in physics from the University of Göttingen, Germany, in 1984 and M.Sc., M.Phil. and Ph.D. degrees from Yale University, New Haven, CT, in 1986 and 1989, respectively. Since 1989 I am the head of a research team in machine learning at Siemens Corporate Research & Technologies. In 1994 I was a visiting scientist at the Massachusetts Institute of Technology's Center for Biological and Computational Learning. Each summer I give a lecture on machine learning and data mining (since 2003). In my projects I collaborate with both the Ludwig Maximilian University of Munich (Ludwig-Maximilians-Universität München, LMU) and the Technical University Munich (Technische Universität München, TUM). Since 2011 I am a Professor at the LMU. E-mail: volker.tresp at s i e m e n s.com Mobil: +49 173 5293072 Students Denis Krompaß, Ludwig Maximilian University of Munich Xueyan Jiang, Ludwig Maximilian University of Munich Maximilian Nickel, Ludwig Maximilian University of Munich Yi Huang, Ludwig Maximilian University of Munich Past students Achim Rettinger Markus Bundschus Zhao Xu Shipeng Yu Kai Yu Anton Schwaighofer Thomas Briegel Derrick Pisani Harald Steck Jaakko Hollmen Dirk Ormoneit Reimar Hofmann Michael Haft Jürgen Hollatz Ralph Neuneier Awards and Honors: Winner of the ISWC 2011 Semantic Web Challenge (with Irene Celino, Daniele Dell'Aglio, Emanuele Della Valle, Marco Balduini, Yi Huang, Tony Lee, Seon-Ho Kim) Winner of the ESWC 2011 AI Mashup Challenge (with Daniele Dell´Aglio, Irene Celino, Emanuele Della Valle, Ralph Grothmann, Florian Steinke) Best Paper Runner-up PKDD 2005 (with Shipeng Yu, Kai Yu, Hans-Peter Kriegel) Siemens Inventor of the Year for 1996 Tutorials Maximilian Nickel and Volker Tresp. Machine Learning on Linked Data: Tensors and their Applications in Graph-Structured Domains. Tutorial at the ISWC 2012. Yi Huang and Volker Tresp. Accessing the Semantic Web via Statistical Machine Learning. Tutorial at the ESWC 2012. Volker Tresp. Multivariate Models for Relational Learning. Tutorial at the ILP 2010. Volker Tresp and Kai Yu. Learning with dependencies between several response variables: From hierarchical bayes and multitask learning to structured prediction and relational learning. Tutorial at the ICML 2009. Volker Tresp. Dirichlet processes and nonparametric bayesian modelling. Tutorial at the Machine Learning Summe
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