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ORCIDChristopher J. C. Burges
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- affiliation: Microsoft Research
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2010 – 2019
- 2019
[i3]Jianfeng Gao, Qiang Wu, Chris Burges, Krysta M. Svore, Yi Su, Nazan Khan, Shalin Shah, Hongyan Zhou:
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking. CoRR abs/1907.09471 (2019)- 2016
- [i2]Christopher J. C. Burges, Ted Hart, Zi Yang, Silviu-Petru Cucerzan, Ryen W. White, Andrzej Pastusiak, Julia Lewis:
A Base Camp for Scaling AI. CoRR abs/1612.07896 (2016) - 2014
- [i1]Christopher J. C. Burges, Erin Renshaw, Andrzej Pastusiak:
Relations World: A Possibilistic Graphical Model. CoRR abs/1411.4618 (2014) - 2013
- [j14]Ran Gilad-Bachrach, Christopher J. C. Burges:
Classifier selection using the predicate depth. J. Mach. Learn. Res. 14(1): 3591-3618 (2013) - [c45]Ran Gilad-Bachrach
, Christopher J. C. Burges:
The Median Hypothesis. Empirical Inference 2013: 161-175 - [c44]Joshua L. Moore, Christopher J. C. Burges, Erin Renshaw, Wen-tau Yih:
Animacy Detection with Voting Models. EMNLP 2013: 55-60 - [c43]Matthew Richardson, Christopher J. C. Burges, Erin Renshaw:
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text. EMNLP 2013: 193-203 - [e2]Christopher J. C. Burges, Léon Bottou, Zoubin Ghahramani, Kilian Q. Weinberger:
Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013, Lake Tahoe, Nevada, United States. 2013 [contents] - 2012
- [c42]Geoffrey Zweig, John C. Platt, Christopher Meek, Christopher J. C. Burges, Ainur Yessenalina, Qiang Liu:
Computational Approaches to Sentence Completion. ACL (1) 2012: 601-610 - [c41]Karthik Raman, Krysta M. Svore, Ran Gilad-Bachrach, Christopher J. C. Burges:
Learning from mistakes: towards a correctable learning algorithm. CIKM 2012: 1930-1934 - [c40]Geoffrey Zweig, Christopher J. C. Burges:
A Challenge Set for Advancing Language Modeling. WLM@NAACL-HLT 2012: 29-36 - [e1]Peter L. Bartlett, Fernando C. N. Pereira, Christopher J. C. Burges, Léon Bottou, Kilian Q. Weinberger:
Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012, Lake Tahoe, Nevada, United States. 2012 [contents] - 2011
- [c39]Krysta M. Svore, Maksims Volkovs, Christopher J. C. Burges:
Learning to rank with multiple objective functions. WWW 2011: 367-376 - [c38]Christopher J. C. Burges, Krysta M. Svore, Paul N. Bennett, Andrzej Pastusiak, Qiang Wu:
Learning to Rank Using an Ensemble of Lambda-Gradient Models. Yahoo! Learning to Rank Challenge 2011: 25-35 - 2010
- [j13]Christopher J. C. Burges:
Dimension Reduction: A Guided Tour. Found. Trends Mach. Learn. 2(4) (2010) - [j12]Qiang Wu, Christopher J. C. Burges, Krysta M. Svore, Jianfeng Gao:
Adapting boosting for information retrieval measures. Inf. Retr. 13(3): 254-270 (2010) - [p3]Christopher J. C. Burges:
Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour. Data Mining and Knowledge Discovery Handbook 2010: 53-82
2000 – 2009
- 2009
- [c37]Krysta M. Svore, Christopher J. C. Burges:
A machine learning approach for improved BM25 retrieval. CIKM 2009: 1811-1814 - [c36]Jianfeng Gao, Qiang Wu, Chris Burges, Krysta M. Svore, Yi Su, Nazan Khan, Shalin Shah, Hongyan Zhou:
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking. EMNLP 2009: 505-513 - [c35]Pinar Donmez, Krysta M. Svore, Christopher J. C. Burges:
On the local optimality of LambdaRank. SIGIR 2009: 460-467 - 2008
- [c34]Krysta M. Svore, Lucy Vanderwende, Christopher J. C. Burges:
Using Signals of Human Interest to Enhance Single-document Summarization. AAAI 2008: 1577-1580 - 2007
- [c33]Krysta M. Svore, Qiang Wu, Chris Burges, Aaswath Pattabhi Raman:
Improving Web Spam Classification using Rank-time Features. AIRWeb 2007: 9-16 - [c32]Dengyong Zhou, Chris Burges, Tao Tao:
Transductive Link Spam Detection. AIRWeb 2007: 21-28 - [c31]Krysta M. Svore, Lucy Vanderwende, Christopher J. C. Burges:
Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources. EMNLP-CoNLL 2007: 448-457 - [c30]Dengyong Zhou, Christopher J. C. Burges:
Spectral clustering and transductive learning with multiple views. ICML 2007: 1159-1166 - [c29]Ping Li, Christopher J. C. Burges, Qiang Wu:
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting. NIPS 2007: 897-904 - [c28]Eugene Agichtein, Chris Burges, Eric Brill:
Question Answering over Implicitly Structured Web Content. Web Intelligence 2007: 18-25 - 2006
- [c27]Michael J. Taylor, Hugo Zaragoza, Nick Craswell, Stephen Robertson, Chris Burges:
Optimisation methods for ranking functions with multiple parameters. CIKM 2006: 585-593 - [c26]Christopher J. C. Burges, Robert Ragno, Quoc Viet Le:
Learning to Rank with Nonsmooth Cost Functions. NIPS 2006: 193-200 - [c25]Irina Matveeva, Chris Burges, Timo Burkard, Andy Laucius, Leon Wong:
High accuracy retrieval with multiple nested ranker. SIGIR 2006: 437-444 - [p2]Christopher J. C. Burges, John C. Platt:
Semi-Supervised Learning with Conditional Harmonic Mixing. Semi-Supervised Learning 2006: 250-273 - 2005
- [c24]Christopher J. C. Burges, Dan Plastina, John C. Platt, Erin Renshaw, Henrique S. Malvar:
Using audio fingerprinting for duplicate detection and thumbnail generation. ICASSP (3) 2005: 9-12 - [c23]Christopher J. C. Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, Gregory N. Hullender:
Learning to rank using gradient descent. ICML 2005: 89-96 - [c22]Robert Ragno, Christopher J. C. Burges, Cormac Herley:
Inferring similarity between music objects with application to playlist generation. Multimedia Information Retrieval 2005: 73-80 - [p1]Christopher J. C. Burges:
Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour. The Data Mining and Knowledge Discovery Handbook 2005: 59-92 - 2004
- [c21]Jonathan Goldstein, John C. Platt, Christopher J. C. Burges:
Redundant Bit Vectors for Quickly Searching High-Dimensional Regions. Deterministic and Statistical Methods in Machine Learning 2004: 137-158 - [c20]Somsak Sukittanon, Arun C. Surendran, John C. Platt, Christopher J. C. Burges:
Convolutional networks for speech detection. INTERSPEECH 2004: 1077-1080 - 2003
- [j11]Christopher J. C. Burges, David J. Crisp:
Uniqueness theorems for kernel methods. Neurocomputing 55(1-2): 187-220 (2003) - [j10]Christopher J. C. Burges, John C. Platt, Soumya Jana:
Distortion discriminant analysis for audio fingerprinting. IEEE Trans. Speech Audio Process. 11(3): 165-174 (2003) - [c19]Christopher J. C. Burges:
Some Notes on Applied Mathematics for Machine Learning. Advanced Lectures on Machine Learning 2003: 21-40 - [c18]Patrice Y. Simard, Christopher J. C. Burges, David Steinkraus, Henrique S. Malvar:
Image compression with on-line and off-line learning. ICIP (2) 2003: 259-262 - [c17]Christopher J. C. Burges, John C. Platt, Jonathan Goldstein:
Identifying audio clips with RARE. ACM Multimedia 2003: 444-445 - 2002
- [j9]Nello Cristianini, Colin Campbell, Chris Burges:
Editorial: Kernel Methods: Current Research and Future Directions. Mach. Learn. 46(1-3): 5-9 (2002) - [c16]Christopher J. C. Burges, John C. Platt, Soumya Jana:
Extracting noise-robust features from audio data. ICASSP 2002: 1021-1024 - 2001
- [c15]Christopher J. C. Burges, Patrice Y. Simard, Henrique S. Malvar:
Improving Wavelet Compression with Neural Networks. Data Compression Conference 2001: 486 - [c14]John C. Platt, Christopher J. C. Burges, Steven Swenson, Christopher Weare, Alice Zheng:
Learning a Gaussian Process Prior for Automatically Generating Music Playlists. NIPS 2001: 1425-1432
1990 – 1999
- 1999
- [j8]Chris Burges:
Discussion on the paper by Friedman and Fisher. Stat. Comput. 9(2): 153-154 (1999) - [j7]Bernhard Schölkopf, Sebastian Mika, Christopher J. C. Burges, Phil Knirsch, Klaus-Robert Müller, Gunnar Rätsch, Alexander J. Smola:
Input space versus feature space in kernel-based methods. IEEE Trans. Neural Networks 10(5): 1000-1017 (1999) - [c13]Partha Niyogi, Chris Burges, Padma Ramesh:
Distinctive feature detection using support vector machines. ICASSP 1999: 425-428 - [c12]Christopher J. C. Burges, David J. Crisp:
Uniqueness of the SVM Solution. NIPS 1999: 223-229 - [c11]David J. Crisp, Christopher J. C. Burges:
A Geometric Interpretation of v-SVM Classifiers. NIPS 1999: 244-250 - 1998
- [j6]Christopher J. C. Burges:
A Tutorial on Support Vector Machines for Pattern Recognition. Data Min. Knowl. Discov. 2(2): 121-167 (1998) - [c10]Bernhard Schölkopf, Alexander J. Smola, Phil Knirsch, Chris Burges:
Fast Approximation of Support Vector Kernel Expansions, and an Interpretation of Clustering as Approximation in Feature Spaces. DAGM-Symposium 1998: 125-132 - 1997
- [j5]Bernhard Schölkopf, Kah Kay Sung, Christopher J. C. Burges, Federico Girosi, Partha Niyogi, Tomaso A. Poggio, Vladimir Vapnik:
Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Trans. Signal Process. 45(11): 2758-2765 (1997) - 1996
- [c9]Bernhard Schölkopf, Chris Burges, Vladimir Vapnik:
Incorporating Invariances in Support Vector Learning Machines. ICANN 1996: 47-52 - [c8]Volker Blanz, Bernhard Schölkopf, Heinrich H. Bülthoff, Chris Burges, Vladimir Vapnik, Thomas Vetter:
Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models. ICANN 1996: 251-256 - [c7]Christopher J. C. Burges:
Simplified Support Vector Decision Rules. ICML 1996: 71-77 - [c6]Harris Drucker, Christopher J. C. Burges, Linda Kaufman, Alexander J. Smola, Vladimir Vapnik:
Support Vector Regression Machines. NIPS 1996: 155-161 - [c5]Christopher J. C. Burges, Bernhard Schölkopf:
Improving the Accuracy and Speed of Support Vector Machines. NIPS 1996: 375-381 - 1995
- [j4]Yoshua Bengio, Yann LeCun, Craig R. Nohl, Christopher J. C. Burges:
LeRec: a NN/HMM hybrid for on-line handwriting recognition. Neural Comput. 7(6): 1289-1303 (1995) - [c4]Hans Peter Graf, Christopher J. C. Burges, Eric Cosatto, Craig R. Nohl:
Analysis of complex and noisy check images. ICIP (3) 1995: 316-319 - [c3]Bernhard Schölkopf, Chris Burges, Vladimir Vapnik:
Extracting Support Data for a Given Task. KDD 1995: 252-257 - 1993
- [j3]Christopher J. C. Burges, Jan Ben, John S. Denker, Yann LeCun, Craig R. Nohl:
Off Line Recognition of Handwritten Postal Words Using Neural Networks. Int. J. Pattern Recognit. Artif. Intell. 7(4): 689-704 (1993) - 1992
- [j2]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:
Reading Handwritten Digits: A ZIP Code Recognition System. Computer 25(7): 59-63 (1992) - 1991
- [c2]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:
A neural network approach to handprint character recognition. Compcon 1991: 472-475 - [c1]Ofer Matan, Christopher J. C. Burges, Yann LeCun, John S. Denker:
Multi-Digit Recognition Using a Space Displacement Neural Network. NIPS 1991: 488-495
1980 – 1989
- 1987
- [j1]Christopher J. C. Burges, Stéphane Zaleski:
Buoyant Mixtures of Cellular Automaton Gases. Complex Syst. 1(1) (1987)
Coauthor Index
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