Christopher J. C. Burges

According to our database1, Christopher J. C. Burges authored at least 63 papers between 1987 and 2016.

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Bibliography

2016
A Base Camp for Scaling AI.
CoRR, 2016

2014
Relations World: A Possibilistic Graphical Model.
CoRR, 2014

2013
Classifier selection using the predicate depth.
Journal of Machine Learning Research, 2013

MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Animacy Detection with Voting Models.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

The Median Hypothesis.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2012
A Challenge Set for Advancing Language Modeling.
Proceedings of the Workshop: Will We Ever Really Replace the N-gram Model? On the Future of Language Modeling for HLT, 2012

Learning from mistakes: towards a correctable learning algorithm.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Computational Approaches to Sentence Completion.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Learning to Rank Using an Ensemble of Lambda-Gradient Models.
Proceedings of the Yahoo! Learning to Rank Challenge, 2011

Learning to rank with multiple objective functions.
Proceedings of the 20th International Conference on World Wide Web, 2011

2010
Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Adapting boosting for information retrieval measures.
Inf. Retr., 2010

Dimension Reduction: A Guided Tour.
Foundations and Trends in Machine Learning, 2010

2009
On the local optimality of LambdaRank.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Model Adaptation via Model Interpolation and Boosting for Web Search Ranking.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

A machine learning approach for improved BM25 retrieval.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Using Signals of Human Interest to Enhance Single-document Summarization.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Question Answering over Implicitly Structured Web Content.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

McRank: Learning to Rank Using Multiple Classification and Gradient Boosting.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Spectral clustering and transductive learning with multiple views.
Proceedings of the Machine Learning, 2007

Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources.
Proceedings of the EMNLP-CoNLL 2007, 2007

Transductive Link Spam Detection.
Proceedings of the AIRWeb 2007, 2007

Improving Web Spam Classification using Rank-time Features.
Proceedings of the AIRWeb 2007, 2007

2006
High accuracy retrieval with multiple nested ranker.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Learning to Rank with Nonsmooth Cost Functions.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Optimisation methods for ranking functions with multiple parameters.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Inferring similarity between music objects with application to playlist generation.
Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

Learning to rank using gradient descent.
Proceedings of the Machine Learning, 2005

Using audio fingerprinting for duplicate detection and thumbnail generation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour.
Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004
Convolutional networks for speech detection.
Proceedings of the INTERSPEECH 2004, 2004

Redundant Bit Vectors for Quickly Searching High-Dimensional Regions.
Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004

2003
Distortion discriminant analysis for audio fingerprinting.
IEEE Trans. Speech and Audio Processing, 2003

Uniqueness theorems for kernel methods.
Neurocomputing, 2003

Identifying audio clips with RARE.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

Image compression with on-line and off-line learning.
Proceedings of the 2003 International Conference on Image Processing, 2003

Some Notes on Applied Mathematics for Machine Learning.
Proceedings of the Advanced Lectures on Machine Learning, 2003

2002
Editorial: Kernel Methods: Current Research and Future Directions.
Machine Learning, 2002

Extracting noise-robust features from audio data.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Learning a Gaussian Process Prior for Automatically Generating Music Playlists.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Improving Wavelet Compression with Neural Networks.
Proceedings of the Data Compression Conference, 2001

1999
Input space versus feature space in kernel-based methods.
IEEE Trans. Neural Networks, 1999

Discussion on the paper by Friedman and Fisher.
Statistics and Computing, 1999

A Geometric Interpretation of v-SVM Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

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

Distinctive feature detection using support vector machines.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
A Tutorial on Support Vector Machines for Pattern Recognition.
Data Min. Knowl. Discov., 1998

Fast Approximation of Support Vector Kernel Expansions, and an Interpretation of Clustering as Approximation in Feature Spaces.
Proceedings of the Mustererkennung 1998, 20. DAGM-Symposium, Stuttgart, 29. September, 1998

1997
Comparing support vector machines with Gaussian kernels to radial basis function classifiers.
IEEE Trans. Signal Processing, 1997

1996
Support Vector Regression Machines.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Improving the Accuracy and Speed of Support Vector Machines.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Simplified Support Vector Decision Rules.
Proceedings of the Machine Learning, 1996

Incorporating Invariances in Support Vector Learning Machines.
Proceedings of the Artificial Neural Networks, 1996

Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models.
Proceedings of the Artificial Neural Networks, 1996

1995
LeRec: a NN/HMM hybrid for on-line handwriting recognition.
Neural Computation, 1995

Extracting Support Data for a Given Task.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Analysis of complex and noisy check images.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1993
Off Line Recognition of Handwritten Postal Words Using Neural Networks.
IJPRAI, 1993

1992
Reading Handwritten Digits: A ZIP Code Recognition System.
IEEE Computer, 1992

1991
Multi-Digit Recognition Using a Space Displacement Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991


1987
Buoyant Mixtures of Cellular Automaton Gases.
Complex Systems, 1987


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