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Bernhard Schölkopf

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Semi-Supervised Learning (Adaptive Computation and Machine Learning)

by Olivier Chapelle, Bernhard Schölkopf, and Alexander Zien First published in 2006 — 5 editions

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Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

by Bernhard Schölkopf and Alexander J. Smola First published in 2001 — 4 editions

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Kernel Methods in Computational Biology (Computational Molecular Biology)

by Bernhard Schölkopf and Koji Tsuda First published in 2004 — 3 editions

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Predicting Structured Data (Neural Information Processing)

by Alexander J. Smola, Thomas Hofmann, Bernhard Schölkopf, and Ben Taskar First published in 2007 — 3 editions

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Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference

by Bernhard Schölkopf, John Platt, and Thomas Hofmann First published in 2007 — 2 editions

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Kernel Mean Embedding of Distributions: A Review and Beyond

by Krikamol Muandet, Kenji Fukumizu, Bernhard Schölkopf, and Bharath Kumar Sriperumbudur VanGeepuram First published in 2017 — 2 editions

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Empirical Inference: Festschrift in Honor of Vladimir N. Vapnik

by Bernhard Schölkopf, Zhiyuan Luo, and Vladimir Vovk First published in 2013 — 2 editions

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Learning with Kernels - Support Vector Machines, Regularization, Optimization, and Beyond

by Bernhard Schölkopf, Alexander J. Smola, and Francis Bach First published in 2018 — 1 edition

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Semi-supervised learning

by Olivier Chapelle, Bernhard Schölkopf, and Alexander Zien First published in 2010 — 1 edition
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Pattern Recognition: 26th DAGM Symposium, August 30 - September 1, 2004, Proceedings

by Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf, and Martin A. Giese First published in 2004 — 1 edition

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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

by Bernhard Schölkopf and Manfred K. Warmuth First published in 2006 — 1 edition

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OLID: OL7843585A

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