Searching for authors named "Ralf Herbrich" – sorted by Relevance.
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Introduction to the Special Issue on Learning Theory
- Issue on Learning Theory Ralf Herbrich RHERB@(email omitted); Thore Graepel THOREG
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The Kernel Gibbs Sampler
- Technical University of Berlin Berlin, Germany Ralf Herbrich Statistics Research Group Computer Science
- Cited by 9 (3 self) – Add To MetaCart
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A Sparse Bayesian Compression Scheme - The Informative Vector Machine
- NEIL D. LAWRENCEAND RALF HERBRICH p (y i jx i ; w) = g y i x T w where g(x) = Z x 1 1 p 2 exp
- Cited by 6 (2 self) – Add To MetaCart
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PAC-Bayesian compression bounds on the prediction error of learning algorithms for classification
- Thore Graepel (graepel@(email omitted);) Institute of Computational Science, ETH Zürich, Switzerland Ralf
- Cited by 3 (1 self) – Add To MetaCart
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A PAC-Bayesian Margin Bound for Linear Classifiers
- by considering a scale- Ralf Herbrich is with Microsoft Research Cambridge, 7 J J Thomson Avenue, Cambridge CB3 0
- Cited by 25 (3 self) – Add To MetaCart
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Adaptive Margin Support Vector Machines
- Department of Computer Science, Egham, Surrey, TW20 OEX, UK jasonw@(email omitted); Ralf Herbrich Technical
- Cited by 7 (1 self) – Add To MetaCart
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Invariant Pattern Recognition by Semidefinite Programming Machines
- Research Ltd. Cambridge, UK thoreg@(email omitted); Ralf Herbrich Microsoft Research Ltd. Cambridge, UK
- Cited by 11 (1 self) – Add To MetaCart
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Unbiased Assessment of Learning Algorithms
- Proc. IJCAI, 97. Unbiased Assessment of Learning Algorithms Tobias Scheffer and Ralf Herbrich
- Cited by 6 (2 self) – Add To MetaCart
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From Margin To Sparsity
- Berlin, Germany Ralf Herbrich Computer Science Department Technical University of Berlin Berlin
- Cited by 19 (4 self) – Add To MetaCart
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Kernel methods for measuring independence
- for Biological Cybernetics, Spemannstr 38, 72076, Tübingen, Germany Ralf Herbrich RHERB@(email omitted); Microsoft
- Cited by 13 (6 self) – Add To MetaCart

