Bernhard Schölkopf is a director at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany where he heads the Department of Empirical Inference. He is a leading researcher in the machine learning community where he is particularly active in the field of kernel methods. He has made particular contributions with support vector machines and kernel PCA.

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  • Bernhard Schölkopf is a director at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany where he heads the Department of Empirical Inference. He is a leading researcher in the machine learning community where he is particularly active in the field of kernel methods. He has made particular contributions with support vector machines and kernel PCA. A large part of his work is the development of novel machine learning algorithms through their formulation as (typically convex) optimisation problems.
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  • Bernhard Schölkopf is a director at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany where he heads the Department of Empirical Inference. He is a leading researcher in the machine learning community where he is particularly active in the field of kernel methods. He has made particular contributions with support vector machines and kernel PCA.
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  • Bernhard Schölkopf
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