Christopher J. C. Burges Vis

Chris Burges

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37EEPinar Donmez, Krysta Marie Svore, Christopher J. C. Burges: On the local optimality of LambdaRank. SIGIR 2009: 460-467
36 Krysta Marie Svore, Lucy Vanderwende, Christopher J. C. Burges: Using Signals of Human Interest to Enhance Single-document Summarization. AAAI 2008: 1577-1580
35EEKrysta Marie Svore, Qiang Wu, Chris Burges, Aaswath Raman: Improving Web Spam Classification using Rank-time Features. AIRWeb 2007
34EEDengyong Zhou, Chris Burges, Tao Tao: Transductive Link Spam Detection. AIRWeb 2007
33EEDengyong Zhou, Christopher J. C. Burges: Spectral clustering and transductive learning with multiple views. ICML 2007: 1159-1166
32EEPing Li, Christopher J. C. Burges, Qiang Wu: McRank: Learning to Rank Using Multiple Classification and Gradient Boosting. NIPS 2007
31EEEugene Agichtein, Chris Burges, Eric Brill: Question Answering over Implicitly Structured Web Content. Web Intelligence 2007: 18-25
30EEMichael J. Taylor, Hugo Zaragoza, Nick Craswell, Stephen Robertson, Chris Burges: Optimisation methods for ranking functions with multiple parameters. CIKM 2006: 585-593
29EEChristopher J. C. Burges, Robert Ragno, Quoc Viet Le: Learning to Rank with Nonsmooth Cost Functions. NIPS 2006: 193-200
28EEIrina Matveeva, Chris Burges, Timo Burkard, Andy Laucius, Leon Wong: High accuracy retrieval with multiple nested ranker. SIGIR 2006: 437-444
27EEChristopher 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
26EERobert Ragno, Christopher J. C. Burges, Cormac Herley: Inferring similarity between music objects with application to playlist generation. Multimedia Information Retrieval 2005: 73-80
25 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
24EEJonathan 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
23EEChristopher J. C. Burges, John C. Platt, Jonathan Goldstein: Identifying audio clips with RARE. ACM Multimedia 2003: 444-445
22EEChristopher J. C. Burges: Some Notes on Applied Mathematics for Machine Learning. Advanced Lectures on Machine Learning 2003: 21-40
21 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
20EEChristopher 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)
19EEChristopher J. C. Burges, David J. Crisp: Uniqueness theorems for kernel methods. Neurocomputing 55(1-2): 187-220 (2003)
18 Nello Cristianini, Colin Campbell, Chris Burges: Editorial: Kernel Methods: Current Research and Future Directions. Machine Learning 46(1-3): 5-9 (2002)
17EEChristopher J. C. Burges, Patrice Simard, Henrique S. Malvar: Improving Wavelet Compression with Neural Networks. Data Compression Conference 2001: 486
16EEJohn 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
15EEChristopher J. C. Burges, David J. Crisp: Uniqueness of the SVM Solution. NIPS 1999: 223-229
14EEDavid J. Crisp, Christopher J. C. Burges: A Geometric Interpretation of v-SVM Classifiers. NIPS 1999: 244-250
13EEBernhard 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)
12 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
11 Christopher J. C. Burges: A Tutorial on Support Vector Machines for Pattern Recognition. Data Min. Knowl. Discov. 2(2): 121-167 (1998)
10 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
9 Bernhard Schölkopf, Chris Burges, Vladimir Vapnik: Incorporating Invariances in Support Vector Learning Machines. ICANN 1996: 47-52
8 Christopher J. C. Burges: Simplified Support Vector Decision Rules. ICML 1996: 71-77
7EEHarris Drucker, Christopher J. C. Burges, Linda Kaufman, Alex J. Smola, Vladimir Vapnik: Support Vector Regression Machines. NIPS 1996: 155-161
6EEChristopher J. C. Burges, Bernhard Schölkopf: Improving the Accuracy and Speed of Support Vector Machines. NIPS 1996: 375-381
5 Bernhard Schölkopf, Chris Burges, Vladimir Vapnik: Extracting Support Data for a Given Task. KDD 1995: 252-257
4EEYoshua 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)
3 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)
2 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)
1EEOfer 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

1Eugene Agichtein [31]
2Henry S. Baird [2]
3Jan Ben [3]
4Yoshua Bengio [4]
5Volker Blanz [10]
6Eric Brill [31]
7Jane Bromley [2]
8Heinrich H. Bülthoff [10]
9Timo Burkard [28]
10Colin Campbell [18]
11Nick Craswell [30]
12David J. Crisp [14] [15] [19]
13Nello Cristianini [18]
14Matt Deeds [27]
15John S. Denker [1] [2] [3]
16Pinar Donmez [37]
17Harris Drucker [7]
18Jonathan Goldstein [23] [24]
19Nicole Hamilton [27]
20Cormac Herley [26]
21Gregory N. Hullender [27]
22Lawrence D. Jackel [2]
23Soumya Jana [20]
24Linda Kaufman [7]
25Phil Knirsch [12] [13]
26Andy Laucius [28]
27Ari Lazier [27]
28Quoc Viet Le [29]
29Yann LeCun [1] [2] [3] [4]
30Ping Li [32]
31Henrique S. Malvar [17] [21]
32Ofer Matan [1] [2]
33Irina Matveeva [28]
34Sebastian Mika [13]
35Klaus-Robert Müller [13]
36Craig R. Nohl [3] [4]
37Edwin P. D. Pednault [2]
38John C. Platt [16] [20] [23] [24]
39Robert Ragno [26] [29]
40Aaswath Raman [35]
41Gunnar Rätsch [13]
42Erin Renshaw [27]
43Stephen E. Robertson (Stephen Robertson) [30]
44William Satterfield [2]
45Bernhard Schölkopf [5] [6] [9] [10] [12] [13]
46Tal Shaked [27]
47Patrice Y. Simard (Patrice Simard) [17] [21]
48Alexander J. Smola (Alex J. Smola) [7] [12] [13]
49David Steinkraus [21]
50Charles E. Stenard [2]
51Krysta Marie Svore [35] [36] [37]
52S. Swenson [16]
53Tao Tao [34]
54Michael J. Taylor [30]
55Timothy J. Thompson [2]
56Lucy Vanderwende [36]
57Vladimir Vapnik [5] [7] [9] [10]
58Thomas Vetter [10]
59C. Weare [16]
60Leon Wong [28]
61Qiang Wu [32] [35]
62Hugo Zaragoza [30]
63A. Zheng [16]
64Dengyong Zhou [33] [34]

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Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)