Volker Tresp

Volker Tresp (* 1957 in Wolfsburg ) is a German physicist , computer scientist and university professor at the Ludwig Maximilians University in Munich . His research focus is " Machine Learning in Information Networks" for modeling knowledge graphs , medical decision-making processes and sensor networks .

Live and act

Volker Tresp studied after graduating from the Ratsgymnasium in Wolfsburg at the Georg-August University Göttingen , the Physics, where he graduated in 1984 with a diploma. He then moved to Yale University , where he received his M.Sc. received his doctorate in 1989 with Arthur Frank Gmitro on the subject of "Electro-Optical System for the High-Speed ​​Reconstruction of Computed Tomography Images". Volker Tresp has worked at Siemens AG Munich in the machine learning area since 1990 . He has published more than 100 scientific articles and filed 70 patent applications. Since 2011 he has been an honorary professor at the chair for database systems and data mining at the Ludwig Maximilians University in Munich. In 2018, he was the first researcher to be awarded the title of Siemens Distinguished Research Scientist .

Literature (selection)

• mit Ormoneit, Dirk: Improved Gaussian mixture density estimates using Bayesian penalty terms and network averaging, Munich: Inst. für Informatik, 1995
• with Hofmann, Reimar: Incorporating prior knowledge in parsimonious networks of locally tuned units, Munich: Inst. für Informatik, 1991
• with Todd K. Leen and Thomas G. Dietterich: The proceedings of the 2000 Neural Information Processing Systems (NIPS) Conference, MIT Press 2001, ISBN 978-0-262-52651-7
• A Bayesian committee machine, Neural Computation 12, 2000.

Web links

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