Bernhard Schölkopf

Bernhard Schölkopf (born 20 February 1968) is a German computer scientist known for his work in machine learning, especially on kernel methods and causality. He is a director at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, where he heads the Department of Empirical Inference. He is also an affiliated professor at ETH Zürich, honorary professor at the University of Tübingen and Technische Universität Berlin, and chairman of the European Laboratory for Learning and Intelligent Systems (ELLIS). Provided by Wikipedia
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  1. 1
    Learning with kernels support vector machines, regularization, optimization, and beyond
    by Scholkopf, Bernhard
    Published 2002
    Book
  2. 2
    Learning Theory and Kernel Machines 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings /
    Published 2003
    Other Authors: “…Schölkopf, Bernhard…”
    Full Text via HEAL-Link
    Electronic eBook
  3. 3
    Empirical Inference Festschrift in Honor of Vladimir N. Vapnik /
    Published 2013
    Other Authors: “…Schölkopf, Bernhard…”
    Full Text via HEAL-Link
    Electronic eBook
  4. 4
    Handbook of Statistical Bioinformatics
    Published 2011
    Other Authors: “…Schölkopf, Bernhard…”
    Full Text via HEAL-Link
    Electronic eBook
  5. 5
    Pattern Recognition 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004. Proceedings /
    Published 2004
    Other Authors: “…Schölkopf, Bernhard…”
    Full Text via HEAL-Link
    Electronic eBook
  6. 6
    On Probabilistic Conditional Independence Structures
    by Studený, Milan
    Published 2005
    Other Authors: “…Schölkopf, Bernhard…”
    Full Text via HEAL-Link
    Electronic eBook
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