Publications

82 entries « 2 of 2 »

2002

Herbrich, Ralf; Williamson, Robert C

Algorithmic Luckiness Journal Article

In: Journal of Machine Learning Research, vol. 3, pp. 175–212, 2002.

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Hill, Simon; Zaragoza, Hugo; Herbrich, Ralf; Rayner, Peter

Average Precision and the Problem of Generalisation Proceedings Article

In: Proceedings of the ACM SIGIR Workshop on Mathematical and Formal Methods in Information Retrieval, 2002.

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Lawrence, Neil; Seeger, Matthias; Herbrich, Ralf

Fast Sparse Gaussian Process Methods: The Informative Vector Machine Proceedings Article

In: Advances in Neural Information Processing Systems 15, pp. 609–616, 2002.

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Li, Yaoyong; Zaragoza, Hugo; Herbrich, Ralf; Shawe-Taylor, John; Kandola, Jasvinder

The Perceptron Algorithm with Uneven Margins Proceedings Article

In: Proceedings of the 19th International Conference of Machine Learning, pp. 379–386, 2002.

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Robertson, Stephen E.; Walker, Stephen; Zaragoza, Hugo; Herbrich, Ralf

Microsoft Cambridge at TREC 2002: Filtering Track Proceedings Article

In: Proceedings of the 9th Text Retrieval Conference (TREC-9), pp. 361–368, 2002.

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2001

Graepel, Thore; Goutrié, Mike; Krüger, Marco; Herbrich, Ralf

Learning on Graphs in the Game of Go Proceedings Article

In: Proceedings of the International Conference on Artifical Neural Networks, pp. 347–352, 2001.

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Gretton, Arthur; Doucet, Arnaud; Herbrich, Ralf; Rayner, Peter; Schölkopf, Bernhard

Support Vector Regression for Black-Box System Identification Proceedings Article

In: Proceedings of the 11th IEEE Workshop on Statistical Signal Processing, pp. 341–344, 2001.

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Herbrich, Ralf; Graepel, Thore; Campbell, Colin

Bayes Point Machines Journal Article

In: Journal of Machine Learning Research, vol. 1, pp. 245–279, 2001.

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Herbrich, Ralf; Williamson, Robert C

Algorithmic Luckiness Proceedings Article

In: Advances in Neural Information Processing Systems 14, pp. 391–397, 2001.

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Schölkopf, Bernhard; Herbrich, Ralf; Smola, Alexander

A Generalized Representer Theorem Proceedings Article

In: Proceedings of the Fourteenth Annual Conference on Computational Learning Theory, pp. 416–426, 2001.

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2000

Graepel, Thore; Herbrich, Ralf

The Kernel Gibbs Sampler Proceedings Article

In: Advances in Neural Information Processing Systems 13, pp. 514–520, The MIT Press, 2000.

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Graepel, Thore; Herbrich, Ralf; Shawe-Taylor, John

Generalisation Error Bounds for Sparse Linear Classifiers Proceedings Article

In: Proceedings of the 13th Annual Conference on Computational Learning Theory, pp. 298–303, 2000.

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Graepel, Thore; Herbrich, Ralf; Williamson, Robert C

From Margin to Sparsity Proceedings Article

In: Advances in Neural Information Processing Systems 13, pp. 210–216, The MIT Press, 2000.

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Herbrich, Ralf

Learning Linear Classifiers - Theory and Algorithms PhD Thesis

Technical University of Berlin, 2000.

BibTeX

Herbrich, Ralf; Graepel, Thore

Large Scale Bayes Point Machines Proceedings Article

In: Advances in Neural Information Processing Systems 13, pp. 528–534, The MIT Press, 2000.

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Herbrich, Ralf; Graepel, Thore

A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work Proceedings Article

In: Advances in Neural Information Processing Systems 13, pp. 224–230, 2000.

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Herbrich, Ralf; Graepel, Thore; Campbell, Colin

Robust Bayes Point Machines Proceedings Article

In: Proceedings of European Symposium on Artificial Neural Networks, pp. 49–54, 2000.

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Herbrich, Ralf; Graepel, Thore; Shawe-Taylor, John

Sparsity vs. Large Margins for Linear Classifiers Proceedings Article

In: Proceedings of the 13th1 Annual Conference on Computational Learning Theory, pp. 304–308, 2000.

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1999

Graepel, Thore; Herbrich, Ralf; Obermayer, Klaus

Bayesian Transduction Proceedings Article

In: Advances in Neural Information Processing Systems 12, pp. 456–462, The MIT Press, 1999.

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Graepel, Thore; Herbrich, Ralf; Schölkopf, Bernhard; Smola, Alex; Bartlett, Peter; Müller, Klaus Robert; Obermayer, Klaus; Williamson, Robert C

Classification on Proximity Data with LP-Machines Proceedings Article

In: Proceedings of the 9th International Conference on Artificial Neural Networks, pp. 304–309, 1999.

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Herbrich, Ralf; Graepel, Thore; Campbell, Colin

Bayes Point Machines : Estimating the Bayes Point in Kernel Space Proceedings Article

In: Proceedings of IJCAI Workshop Support Vector Machines, pp. 23–27, 1999.

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Herbrich, Ralf; Graepel, Thore; Obermayer, Klaus

Support Vector Learning for Ordinal Regression Proceedings Article

In: Proceedings of the 9th International Conference on Artificial Neural Networks, pp. 97–102, 1999.

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Herbrich, Ralf; Graepel, Thore; Obermayer, Klause

Large Margin Rank Boundaries for Ordinal Regression Book Section

In: Advances in Large Margin Classifiers, pp. 115–132, The MIT Press, 1999.

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Herbrich, Ralf; Keilbach, Max; Bollmann-Sdorra, Peter; Obermayer, Klaus

Neural Networks in Economics : Background, Applications and New Developments Journal Article

In: Advances in Computational Economics, vol. 11, pp. 169–196, 1999.

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Herbrich, Ralf; Weston, Jason

Adaptive Margin Support Vector Machines for Classification Proceedings Article

In: Proceedings of the 9th International Conference on Artificial Neural Networks, pp. 97–102, 1999.

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Weston, Jason; Herbrich, Ralf

Adaptive Margin Support Vector Machines Book Section

In: Advances in Large Margin Classifiers, pp. 281–296, The MIT Press, 1999.

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1998

Graepel, Thore; Herbrich, Ralf; Bollmann-Sdorra, Peter; Obermayer, Klaus

Classification on Pairwise Proximity Data Proceedings Article

In: Advances in Neural Information Processing Systems 11, pp. 438–444, The MIT Press, 1998.

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Herbrich, Ralf; Graepel, Thore; Bollmann-Sdorra, Peter; Obermayer, Klaus

Learning Preference Relations for Information Retrieval Proceedings Article

In: Proceedings of the International Conference on Machine Learning Workshop: Text Categorization and Machine learning, pp. 80–84, 1998.

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1997

Herbrich, Ralf

Segmentierung mit Gaborfiltern zur Induktion struktureller Klassifikatoren auf Bilddaten Masters Thesis

Technical University Berlin, 1997.

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Herbrich, Ralf; Scheffer, Tobias

Generation of Task-Specific Segmentation Procedures as a Model Selection Task Proceedings Article

In: Proceedings of Workshop on Visual Information Processing, pp. 11–21, 1997.

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Scheffer, Tobias; Herbrich, Ralf

Unbiased Assesment of Learning Algorithms Proceedings Article

In: Proceedings of the International Joint Conference on Artificial Intelligence, pp. 798–803, 1997.

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1996

Scheffer, Tobias; Herbrich, Ralf; Wysotzki, Fritz

Efficient $Theta$-Subsumption Based on Graph Algorithms Proceedings Article

In: Lecture Notes in Artifical Intelligence: 6th International Workshop on Inductive Logic Programming,, pp. 212–228, 1996.

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82 entries « 2 of 2 »