Olivier Chapelle

Carlos Castillo

Mach. Learn., 2010

Gradient descent optimization of smoothed information retrieval metrics.

[BibT_eX]

[DOI]

Mingrui Wu

Inf. Retr., 2010

Efficient algorithms for ranking with SVMs.

[BibT_eX]

[DOI]

Inf. Retr., 2010

Learning to rank with (a lot of) word features.

[BibT_eX]

[DOI]

Inf. Retr., 2010

Early exit optimizations for additive machine learned ranking systems.

[BibT_eX]

[DOI]

Berkant Barla Cambazoglu

Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Learning more powerful test statistics for click-based retrieval evaluation.

[BibT_eX]

[DOI]

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Active learning for ranking through expected loss optimization.

[BibT_eX]

[DOI]

Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Multi-task learning for boosting with application to web search ranking.

[BibT_eX]

[DOI]

Pannagadatta K. Shivaswamy

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

A dynamic bayesian network click model for web search ranking.

[BibT_eX]

[DOI]

Ya Zhang

Proceedings of the 18th International Conference on World Wide Web, 2009

Global ranking by exploiting user clicks.

[BibT_eX]

[DOI]

Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Expected reciprocal rank for graded relevance.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Supervised semantic indexing.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Beyond binary relevance: preferences, diversity, and set-level judgments.

[BibT_eX]

[DOI]

SIGIR Forum, 2008

Optimization Techniques for Semi-Supervised Support Vector Machines.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2008

Large Margin Taxonomy Embedding for Document Categorization.

[BibT_eX]

[DOI]

Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Tighter Bounds for Structured Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Web spam identification through content and hyperlinks.

[BibT_eX]

[DOI]

Jacob D. Abernethy

Carlos Castillo

Proceedings of the AIRWeb 2008, 2008

2007

Training a Support Vector Machine in the Primal.

[BibT_eX]

[DOI]

Neural Comput., 2007

Deterministic Annealing for Multiple-Instance Learning.

[BibT_eX]

[DOI]

Peter V. Gehler

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A General Boosting Method and its Application to Learning Ranking Functions for Web Search.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Learning with Transformation Invariant Kernels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

An Analysis of Inference with the Universum.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Building Support Vector Machines with Reduced Classifier Complexity.

[BibT_eX]

[DOI]

Dennis DeCoste

J. Mach. Learn. Res., 2006

Implicit Surface Modelling with a Globally Regularised Basis of Compact Support.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2006

Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Branch and Bound for Semi-Supervised Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Deterministic annealing for semi-supervised kernel machines.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

A continuation method for semi-supervised SVMs.

[BibT_eX]

[DOI]

Mingmin Chi

Proceedings of the Machine Learning, 2006

Embedded Methods.

[BibT_eX]

[DOI]

Proceedings of the Feature Extraction - Foundations and Applications, 2006

Combining a Filter Method with SVMs.

[BibT_eX]

[DOI]

Thomas Navin Lal

Proceedings of the Feature Extraction - Foundations and Applications, 2006

A Discussion of Semi-Supervised Learning and Transduction.

[BibT_eX]

[DOI]

Proceedings of the Semi-Supervised Learning, 2006

Analysis of Benchmarks.

[BibT_eX]

[DOI]

Proceedings of the Semi-Supervised Learning, 2006

Introduction to Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Semi-Supervised Learning, 2006

2005

The 2005 PASCAL Visual Object Classes Challenge.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning Challenges, 2005

Estimating Predictive Variances with Kernel Ridge Regression.

[BibT_eX]

[DOI]

Gavin C. Cawley

Nicola L. C. Talbot

Proceedings of the Machine Learning Challenges, 2005

Implicit surface modelling as an eigenvalue problem.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2005

An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron.

[BibT_eX]

[DOI]

Adam Kowalczyk

Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

Semi-Supervised Classification by Low Density Separation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

Active Learning for Parzen Window Classifier.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004

Feature Selection for Support Vector Machines Using Genetic Algorithms.

[BibT_eX]

[DOI]

Holger Fröhlich

Int. J. Artif. Intell. Tools, 2004

A Machine Learning Approach to Conjoint Analysis.

[BibT_eX]

[DOI]

Zaïd Harchaoui

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003

Feature selection and transduction for prediction of molecular bioactivity for drug design.

[BibT_eX]

[DOI]

Bioinform., 2003

Measure Based Regularization.

[BibT_eX]

[DOI]

Olivier Bousquet

Matthias Hein

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Feature Selection for Support Vector Machines by Means of Genetic Algorithms.

[BibT_eX]

[DOI]

Holger Fröhlich

Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

2002

Choosing Multiple Parameters for Support Vector Machines.

[BibT_eX]

[DOI]

Mach. Learn., 2002

Model Selection for Small Sample Regression.

[BibT_eX]

[DOI]

Yoshua Bengio

Mach. Learn., 2002

Kernel Dependency Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Cluster Kernels for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Jason Weston

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001

Incorporating Invariances in Non-Linear Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

Bounds on Error Expectation for Support Vector Machines.

[BibT_eX]

[DOI]

Neural Comput., 2000

Feature Selection for SVMs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Vicinal Risk Minimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

Support vector machines for histogram-based image classification.

[BibT_eX]

[DOI]

Patrick Haffner

IEEE Trans. Neural Networks, 1999

Transductive Inference for Estimating Values of Functions.

[BibT_eX]

[DOI]

Jason Weston

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Model Selection for Support Vector Machines.

[BibT_eX]

[DOI]