Christopher J. C. Burges

According to our database, Christopher J. C. Burges authored at least 64 papers between 1987 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2016

A Base Camp for Scaling AI.

Christopher J. C. Burges, Ted Hart, Zi Yang, Silviu-Petru Cucerzan, Ryen W. White, Andrzej Pastusiak, Julia Lewis

CoRR, 2016

2014

Relations World: A Possibilistic Graphical Model.

Christopher J. C. Burges, Erin Renshaw, Andrzej Pastusiak

CoRR, 2014

2013

Classifier selection using the predicate depth.

Ran Gilad-Bachrach, Christopher J. C. Burges

J. Mach. Learn. Res., 2013

MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text.

Matthew Richardson, Christopher J. C. Burges, Erin Renshaw

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Animacy Detection with Voting Models.

Joshua L. Moore, Christopher J. C. Burges, Erin Renshaw, Wen-tau Yih

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

The Median Hypothesis.

Ran Gilad-Bachrach, Christopher J. C. Burges

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

2012

A Challenge Set for Advancing Language Modeling.

Geoffrey Zweig, Christopher J. C. Burges

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.

Karthik Raman, Krysta M. Svore, Ran Gilad-Bachrach, Christopher J. C. Burges

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Computational Approaches to Sentence Completion.

Geoffrey Zweig, John C. Platt, Christopher Meek, Christopher J. C. Burges, Ainur Yessenalina, Qiang Liu

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.

Christopher J. C. Burges, Krysta M. Svore, Paul N. Bennett, Andrzej Pastusiak, Qiang Wu

Proceedings of the Yahoo! Learning to Rank Challenge, 2011

Learning to rank with multiple objective functions.

Krysta M. Svore, Maksims Volkovs, Christopher J. C. Burges

Proceedings of the 20th International Conference on World Wide Web, 2011

2010

Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour.

Christopher J. C. Burges

Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Adapting boosting for information retrieval measures.

Qiang Wu, Christopher J. C. Burges, Krysta M. Svore, Jianfeng Gao

Inf. Retr., 2010

Dimension Reduction: A Guided Tour.

Christopher J. C. Burges

Found. Trends Mach. Learn., 2010

2009

On the local optimality of LambdaRank.

Pinar Donmez, Krysta M. Svore, Christopher J. C. Burges

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.

Jianfeng Gao, Qiang Wu, Chris Burges, Krysta M. Svore, Yi Su, Nazan Khan, Shalin Shah, Hongyan Zhou

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

A machine learning approach for improved BM25 retrieval.

Krysta M. Svore, Christopher J. C. Burges

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

2008

Using Signals of Human Interest to Enhance Single-document Summarization.

Krysta M. Svore, Lucy Vanderwende, Christopher J. C. Burges

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Question Answering over Implicitly Structured Web Content.

Eugene Agichtein, Chris Burges, Eric Brill

Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

McRank: Learning to Rank Using Multiple Classification and Gradient Boosting.

Ping Li, Christopher J. C. Burges, Qiang Wu

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

Spectral clustering and transductive learning with multiple views.

Dengyong Zhou, Christopher J. C. Burges

Proceedings of the Machine Learning, 2007

Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources.

Krysta M. Svore, Lucy Vanderwende, Christopher J. C. Burges

Proceedings of the EMNLP-CoNLL 2007, 2007

Transductive Link Spam Detection.

Dengyong Zhou, Chris Burges, Tao Tao

Proceedings of the AIRWeb 2007, 2007

Improving Web Spam Classification using Rank-time Features.

Krysta M. Svore, Qiang Wu, Chris Burges, Aaswath Pattabhi Raman

Proceedings of the AIRWeb 2007, 2007

2006

High accuracy retrieval with multiple nested ranker.

Irina Matveeva, Chris Burges, Timo Burkard, Andy Laucius, Leon Wong

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.

Christopher J. C. Burges, Robert Ragno, Quoc Viet Le

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

Optimisation methods for ranking functions with multiple parameters.

Michael J. Taylor, Hugo Zaragoza, Nick Craswell, Stephen Robertson, Chris Burges

Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

Semi-Supervised Learning with Conditional Harmonic Mixing.

Christopher J. C. Burges, John C. Platt

Proceedings of the Semi-Supervised Learning, 2006

2005

Inferring similarity between music objects with application to playlist generation.

Robert Ragno, Christopher J. C. Burges, Cormac Herley

Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

Learning to rank using gradient descent.

Christopher J. C. Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, Gregory N. Hullender

Proceedings of the Machine Learning, 2005

Using audio fingerprinting for duplicate detection and thumbnail generation.

Christopher J. C. Burges, Dan Plastina, John C. Platt, Erin Renshaw, Henrique S. Malvar

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour.

Christopher J. C. Burges

Proceedings of the Data Mining and Knowledge Discovery Handbook., 2005

2004

Convolutional networks for speech detection.

Somsak Sukittanon, Arun C. Surendran, John C. Platt, Christopher J. C. Burges

Proceedings of the 8th International Conference on Spoken Language Processing, 2004

Redundant Bit Vectors for Quickly Searching High-Dimensional Regions.

Jonathan Goldstein, John C. Platt, Christopher J. C. Burges

Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004

2003

Distortion discriminant analysis for audio fingerprinting.

Christopher J. C. Burges, John C. Platt, Soumya Jana

IEEE Trans. Speech Audio Process., 2003

Uniqueness theorems for kernel methods.

Christopher J. C. Burges, David J. Crisp

Neurocomputing, 2003

Identifying audio clips with <i>RARE</i>.

Christopher J. C. Burges, John C. Platt, Jonathan Goldstein

Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

Image compression with on-line and off-line learning.

Patrice Y. Simard, Christopher J. C. Burges, David Steinkraus, Henrique S. Malvar

Proceedings of the 2003 International Conference on Image Processing, 2003

Some Notes on Applied Mathematics for Machine Learning.

Christopher J. C. Burges

Proceedings of the Advanced Lectures on Machine Learning, 2003

2002

Editorial: Kernel Methods: Current Research and Future Directions.

Nello Cristianini, Colin Campbell, Chris Burges

Mach. Learn., 2002

Extracting noise-robust features from audio data.

Christopher J. C. Burges, John C. Platt, Soumya Jana

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Learning a Gaussian Process Prior for Automatically Generating Music Playlists.

John C. Platt, Christopher J. C. Burges, Steven Swenson, Christopher Weare, Alice Zheng

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

Improving Wavelet Compression with Neural Networks.

Christopher J. C. Burges, Patrice Y. Simard, Henrique S. Malvar

Proceedings of the Data Compression Conference, 2001

1999

Input space versus feature space in kernel-based methods.

Bernhard Schölkopf, Sebastian Mika, Christopher J. C. Burges, Phil Knirsch, Klaus-Robert Müller, Gunnar Rätsch, Alexander J. Smola

IEEE Trans. Neural Networks, 1999

Discussion on the paper by Friedman and Fisher.

Chris Burges

Stat. Comput., 1999

A Geometric Interpretation of v-SVM Classifiers.

David J. Crisp, Christopher J. C. Burges

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

Uniqueness of the SVM Solution.

Christopher J. C. Burges, David J. Crisp

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.

Partha Niyogi, Chris Burges, Padma Ramesh

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998

A Tutorial on Support Vector Machines for Pattern Recognition.

Christopher J. C. Burges

Data Min. Knowl. Discov., 1998

Fast Approximation of Support Vector Kernel Expansions, and an Interpretation of Clustering as Approximation in Feature Spaces.

Bernhard Schölkopf, Alexander J. Smola, Phil Knirsch, Chris Burges

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.

Bernhard Schölkopf, Kah Kay Sung, Christopher J. C. Burges, Federico Girosi, Partha Niyogi, Tomaso A. Poggio, Vladimir Vapnik

IEEE Trans. Signal Process., 1997

1996

Support Vector Regression Machines.

Harris Drucker, Christopher J. C. Burges, Linda Kaufman, Alexander J. Smola, Vladimir Vapnik

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Improving the Accuracy and Speed of Support Vector Machines.

Christopher J. C. Burges, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Simplified Support Vector Decision Rules.

Christopher J. C. Burges

Proceedings of the Machine Learning, 1996

Incorporating Invariances in Support Vector Learning Machines.

Bernhard Schölkopf, Chris Burges, Vladimir Vapnik

Proceedings of the Artificial Neural Networks, 1996

Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models.

Volker Blanz, Bernhard Schölkopf, Heinrich H. Bülthoff, Chris Burges, Vladimir Vapnik, Thomas Vetter

Proceedings of the Artificial Neural Networks, 1996

1995

LeRec: a NN/HMM hybrid for on-line handwriting recognition.

Yoshua Bengio, Yann LeCun, Craig R. Nohl, Christopher J. C. Burges

Neural Comput., 1995

Extracting Support Data for a Given Task.

Bernhard Schölkopf, Chris Burges, Vladimir Vapnik

Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Analysis of complex and noisy check images.

Hans Peter Graf, Christopher J. C. Burges, Eric Cosatto, Craig R. Nohl

Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1993

Off Line Recognition of Handwritten Postal Words Using Neural Networks.

Christopher J. C. Burges, Jan Ben, John S. Denker, Yann LeCun, Craig R. Nohl

Int. J. Pattern Recognit. Artif. Intell., 1993

1992

Reading Handwritten Digits: A ZIP Code Recognition System.

Ofer Matan, Henry S. Baird, Jane Bromley, Christopher J. C. Burges, John S. Denker, Lawrence D. Jackel, Yann LeCun, Edwin P. D. Pednault, William Satterfield, Charles E. Stenard, Timothy J. Thompson

Computer, 1992

1991

Multi-Digit Recognition Using a Space Displacement Neural Network.

Ofer Matan, Christopher J. C. Burges, Yann LeCun, John S. Denker

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

A neural network approach to handprint character recognition.

Lawrence D. Jackel, Charles E. Stenard, Henry S. Baird, Bernhard E. Boser, Jane Bromley, Christopher J. C. Burges, John S. Denker, Hans Peter Graf, Donnie Henderson, Richard E. Howard, Wayne E. Hubbard, Yann LeCun, Ofer Matan, Edwin P. D. Pednault, William Satterfield, Eduard Säckinger, Timothy J. Thompson

Proceedings of the Compcon Spring '91, San Francisco, 1991

1987

Buoyant Mixtures of Cellular Automaton Gases.

Christopher J. C. Burges, Stéphane Zaleski

Complex Syst., 1987