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Christopher J. C. Burges: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Christopher J. C. Burges
    Some Notes on Applied Mathematics for Machine Learning. [Citation Graph (0, 0)][DBLP]
    Advanced Lectures on Machine Learning, 2003, pp:21-40 [Conf]
  2. Christopher J. C. Burges, Patrice Simard, Henrique S. Malvar
    Improving Wavelet Compression with Neural Networks. [Citation Graph (0, 0)][DBLP]
    Data Compression Conference, 2001, pp:486- [Conf]
  3. Jonathan Goldstein, John C. Platt, Christopher J. C. Burges
    Redundant Bit Vectors for Quickly Searching High-Dimensional Regions. [Citation Graph (0, 0)][DBLP]
    Deterministic and Statistical Methods in Machine Learning, 2004, pp:137-158 [Conf]
  4. Patrice Y. Simard, Christopher J. C. Burges, David Steinkraus, Henrique S. Malvar
    Image compression with on-line and off-line learning. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:259-262 [Conf]
  5. Christopher J. C. Burges
    Simplified Support Vector Decision Rules. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:71-77 [Conf]
  6. Christopher J. C. Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, Gregory N. Hullender
    Learning to rank using gradient descent. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:89-96 [Conf]
  7. Christopher J. C. Burges, John C. Platt, Jonathan Goldstein
    Identifying audio clips with RARE. [Citation Graph (0, 0)][DBLP]
    ACM Multimedia, 2003, pp:444-445 [Conf]
  8. Christopher J. C. Burges, David J. Crisp
    Uniqueness of the SVM Solution. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:223-229 [Conf]
  9. Christopher J. C. Burges, Bernhard Schölkopf
    Improving the Accuracy and Speed of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:375-381 [Conf]
  10. David J. Crisp, Christopher J. C. Burges
    A Geometric Interpretation of v-SVM Classifiers. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:244-250 [Conf]
  11. Harris Drucker, Christopher J. C. Burges, Linda Kaufman, Alex J. Smola, Vladimir Vapnik
    Support Vector Regression Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:155-161 [Conf]
  12. Ofer Matan, Christopher J. C. Burges, Yann LeCun, John S. Denker
    Multi-Digit Recognition Using a Space Displacement Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:488-495 [Conf]
  13. John C. Platt, Christopher J. C. Burges, S. Swenson, C. Weare, A. Zheng
    Learning a Gaussian Process Prior for Automatically Generating Music Playlists. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:1425-1432 [Conf]
  14. 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. [Citation Graph (0, 0)][DBLP]
    IEEE Computer, 1992, v:25, n:7, pp:59-63 [Journal]
  15. Christopher J. C. Burges
    A Tutorial on Support Vector Machines for Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 1998, v:2, n:2, pp:121-167 [Journal]
  16. Christopher J. C. Burges, David J. Crisp
    Uniqueness theorems for kernel methods. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:55, n:1-2, pp:187-220 [Journal]
  17. Christopher J. C. Burges, Jan Ben, John S. Denker, Yann LeCun, Craig R. Nohl
    Off Line Recognition of Handwritten Postal Words Using Neural Networks. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1993, v:7, n:4, pp:689-704 [Journal]
  18. Yoshua Bengio, Yann LeCun, Craig R. Nohl, Christopher J. C. Burges
    LeRec: a NN/HMM hybrid for on-line handwriting recognition. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1995, v:7, n:6, pp:1289-1303 [Journal]
  19. Dengyong Zhou, Christopher J. C. Burges
    Spectral clustering and transductive learning with multiple views. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:1159-1166 [Conf]
  20. Robert Ragno, Christopher J. C. Burges, Cormac Herley
    Inferring similarity between music objects with application to playlist generation. [Citation Graph (0, 0)][DBLP]
    Multimedia Information Retrieval, 2005, pp:73-80 [Conf]
  21. Christopher J. C. Burges, Robert Ragno, Quoc Viet Le
    Learning to Rank with Nonsmooth Cost Functions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:193-200 [Conf]

  22. Using Signals of Human Interest to Enhance Single-document Summarization. [Citation Graph (, )][DBLP]


  23. A machine learning approach for improved BM25 retrieval. [Citation Graph (, )][DBLP]


  24. McRank: Learning to Rank Using Multiple Classification and Gradient Boosting. [Citation Graph (, )][DBLP]


  25. On the local optimality of LambdaRank. [Citation Graph (, )][DBLP]


  26. Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources. [Citation Graph (, )][DBLP]


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