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Christopher J. C. Burges
Chris Burges
2010 – today
- 2012
[c37]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- [c36]Karthik Raman, Krysta Marie Svore, Ran Gilad-Bachrach, Christopher J. C. Burges: Learning from mistakes: towards a correctable learning algorithm. CIKM 2012: 1930-1934
- [e1]Peter L. Bartlett, Fernando C. N. Pereira, Christopher J. C. Burges, Léon Bottou, Kilian Q. Weinberger (Eds.): 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
- 2011
- [j12]Christopher J. C. Burges, Krysta Marie Svore, Paul N. Bennett, Andrzej Pastusiak, Qiang Wu: Learning to Rank Using an Ensemble of Lambda-Gradient Models. Journal of Machine Learning Research - Proceedings Track 14: 25-35 (2011)
- [c35]Krysta Marie Svore, Maksims Volkovs, Christopher J. C. Burges: Learning to rank with multiple objective functions. WWW 2011: 367-376
- 2010
- [j11]Christopher J. C. Burges: Dimension Reduction: A Guided Tour. Foundations and Trends in Machine Learning 2(4) (2010)
- [j10]Qiang Wu, Christopher J. C. Burges, Krysta Marie Svore, Jianfeng Gao: Adapting boosting for information retrieval measures. Inf. Retr. 13(3): 254-270 (2010)
- [p2]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
- [c34]Krysta Marie Svore, Christopher J. C. Burges: A machine learning approach for improved BM25 retrieval. CIKM 2009: 1811-1814
- [c33]Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie Svore, Yi Su, Nazan Khan, Shalin Shah, Hongyan Zhou: Model Adaptation via Model Interpolation and Boosting for Web Search Ranking. EMNLP 2009: 505-513
- [c32]Pinar Donmez, Krysta Marie Svore, Christopher J. C. Burges: On the local optimality of LambdaRank. SIGIR 2009: 460-467
- 2008
- [c31]Krysta Marie Svore, Lucy Vanderwende, Christopher J. C. Burges: Using Signals of Human Interest to Enhance Single-document Summarization. AAAI 2008: 1577-1580
- 2007
- [c30]Krysta Marie Svore, Qiang Wu, Chris Burges, Aaswath Raman: Improving Web Spam Classification using Rank-time Features. AIRWeb 2007
- [c29]
- [c28]Krysta Marie Svore, Lucy Vanderwende, Christopher J. C. Burges: Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources. EMNLP-CoNLL 2007: 448-457
- [c27]Dengyong Zhou, Christopher J. C. Burges: Spectral clustering and transductive learning with multiple views. ICML 2007: 1159-1166
- [c26]
- [c25]Eugene Agichtein, Chris Burges, Eric Brill: Question Answering over Implicitly Structured Web Content. Web Intelligence 2007: 18-25
- 2006
- [c24]Michael J. Taylor, Hugo Zaragoza, Nick Craswell, Stephen Robertson, Chris Burges: Optimisation methods for ranking functions with multiple parameters. CIKM 2006: 585-593
- [c23]Christopher J. C. Burges, Robert Ragno, Quoc Viet Le: Learning to Rank with Nonsmooth Cost Functions. NIPS 2006: 193-200
- [c22]Irina Matveeva, Chris Burges, Timo Burkard, Andy Laucius, Leon Wong: High accuracy retrieval with multiple nested ranker. SIGIR 2006: 437-444
- 2005
- [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
- [c21]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
- [c20]Robert Ragno, Christopher J. C. Burges, Cormac Herley: Inferring similarity between music objects with application to playlist generation. Multimedia Information Retrieval 2005: 73-80
- 2004
- [c19]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
- [c18]Somsak Sukittanon, Arun C. Surendran, John C. Platt, Christopher J. C. Burges: Convolutional networks for speech detection. INTERSPEECH 2004
- 2003
- [j9]Christopher J. C. Burges, David J. Crisp: Uniqueness theorems for kernel methods. Neurocomputing 55(1-2): 187-220 (2003)
- [j8]Christopher J. C. Burges, John C. Platt, Soumya Jana: Distortion discriminant analysis for audio fingerprinting. IEEE Transactions on Speech and Audio Processing 11(3): 165-174 (2003)
- [c17]Christopher J. C. Burges: Some Notes on Applied Mathematics for Machine Learning. Advanced Lectures on Machine Learning 2003: 21-40
- [c16]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
- [c15]Christopher J. C. Burges, John C. Platt, Jonathan Goldstein: Identifying audio clips with RARE. ACM Multimedia 2003: 444-445
- 2002
- [j7]Nello Cristianini, Colin Campbell, Chris Burges: Editorial: Kernel Methods: Current Research and Future Directions. Machine Learning 46(1-3): 5-9 (2002)
- [c14]Christopher J. C. Burges, John C. Platt, Soumya Jana: Extracting noise-robust features from audio data. ICASSP 2002: 1021-1024
- 2001
- [c13]Christopher J. C. Burges, Patrice Simard, Henrique S. Malvar: Improving Wavelet Compression with Neural Networks. Data Compression Conference 2001: 486
- [c12]John C. Platt, Christopher J. C. Burges, S. Swenson, C. Weare, A. Zheng: Learning a Gaussian Process Prior for Automatically Generating Music Playlists. NIPS 2001: 1425-1432
1990 – 1999
- 1999
- [j6]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 Transactions on Neural Networks 10(5): 1000-1017 (1999)
- [c11]
- [c10]David J. Crisp, Christopher J. C. Burges: A Geometric Interpretation of v-SVM Classifiers. NIPS 1999: 244-250
- 1998
- [j5]Christopher J. C. Burges: A Tutorial on Support Vector Machines for Pattern Recognition. Data Min. Knowl. Discov. 2(2): 121-167 (1998)
- [c9]Bernhard Schölkopf, Alex 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
- [j4]Bernhard Schölkopf, Kah Kay Sung, Christopher J. C. Burges, Federico Girosi, Partha Niyogi, Tomaso Poggio, Vladimir Vapnik: Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Transactions on Signal Processing 45(11): 2758-2765 (1997)
- 1996
- [c8]Bernhard Schölkopf, Chris Burges, Vladimir Vapnik: Incorporating Invariances in Support Vector Learning Machines. ICANN 1996: 47-52
- [c7]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
- [c6]
- [c5]Harris Drucker, Christopher J. C. Burges, Linda Kaufman, Alex J. Smola, Vladimir Vapnik: Support Vector Regression Machines. NIPS 1996: 155-161
- [c4]Christopher J. C. Burges, Bernhard Schölkopf: Improving the Accuracy and Speed of Support Vector Machines. NIPS 1996: 375-381
- 1995
- [j3]Yoshua Bengio, Yann LeCun, Craig R. Nohl, Christopher J. C. Burges: LeRec: a NN/HMM hybrid for on-line handwriting recognition. Neural Computation 7(6): 1289-1303 (1995)
- [c3]Hans Peter Graf, Christopher J. C. Burges, Eric Cosatto, Craig R. Nohl: Analysis of complex and noisy check images. ICIP (3) 1995: 316-319
- [c2]Bernhard Schölkopf, Chris Burges, Vladimir Vapnik: Extracting Support Data for a Given Task. KDD 1995: 252-257
- 1993
- [j2]Christopher J. C. Burges, Jan Ben, John S. Denker, Yann LeCun, Craig R. Nohl: Off Line Recognition of Handwritten Postal Words Using Neural Networks. IJPRAI 7(4): 689-704 (1993)
- 1992
- [j1]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. IEEE Computer 25(7): 59-63 (1992)
- 1991
- [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
Coauthor Index
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last updated on 2013-02-28 21:05 CET by the dblp team