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    • 域名年龄:22年8个月9天  注册日期:2002年01月16日  到期时间:
      邮箱:volker.tresp  电话:+49.8963649408
      注册商:united-domains AG (R1838-LROR) 
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    tresp.org

    域名年龄: 22年8个月9天
    注册时间: 2002-01-16
    注 册 商: united-domains AG (R1838-LROR)
    注册邮箱: volker.tresp
    联系电话: +49.8963649408

    获取时间: 2014年04月18日 18:41:40
    Domain Name:TRESP.ORG
    Domain ID: D82563677-LROR
    Creation Date: 2002-01-16T10:17:57Z
    Updated Date: 2014-04-05T23:03:12Z
    Registry Expiry Date: 2015-01-16T10:17:57Z
    Sponsoring Registrar:united-domains AG (R1838-LROR)
    Sponsoring Registrar IANA ID: 1408
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    Domain Status: clientTransferProhibited
    Registrant ID:C-A69CTLB-UGZGAX
    Registrant Name:Tresp Volker
    Registrant Organization:Siemens
    Registrant Street: Rudolf-Zorn-Strasse 34
    Registrant City:Muenchen
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    Registrant Postal Code:81739
    Registrant Country:DE
    Registrant Phone:+49.8963649408
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    Registrant Email:volker.tresp
    Admin ID:C-A69CTLB-UGZGAX
    Admin Name:Tresp Volker
    Admin Organization:Siemens
    Admin Street: Rudolf-Zorn-Strasse 34
    Admin City:Muenchen
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    Admin Country:DE
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    Tech Organization:united-domains AG
    Tech Street: Gautinger Strasse 10
    Tech City:Starnberg
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    Tech Postal Code:82319
    Tech Country:DE
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    抓取时间:2012年10月19日 03:06:41
    网址:http://tresp.org/
    标题:Volker Tresp's Home Page (Homepage)
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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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