Christopher J. C. Burges

Chris Burges

	2009
38		Krysta Marie Svore, Christopher J. C. Burges: A machine learning approach for improved BM25 retrieval. CIKM 2009: 1811-1814
37		Pinar Donmez, Krysta Marie Svore, Christopher J. C. Burges: On the local optimality of LambdaRank. SIGIR 2009: 460-467
	2008
36		Krysta Marie Svore, Lucy Vanderwende, Christopher J. C. Burges: Using Signals of Human Interest to Enhance Single-document Summarization. AAAI 2008: 1577-1580
	2007
35		Krysta Marie Svore, Qiang Wu, Chris Burges, Aaswath Raman: Improving Web Spam Classification using Rank-time Features. AIRWeb 2007
34		Dengyong Zhou, Chris Burges, Tao Tao: Transductive Link Spam Detection. AIRWeb 2007
33		Dengyong Zhou, Christopher J. C. Burges: Spectral clustering and transductive learning with multiple views. ICML 2007: 1159-1166
32		Ping Li, Christopher J. C. Burges, Qiang Wu: McRank: Learning to Rank Using Multiple Classification and Gradient Boosting. NIPS 2007
31		Eugene Agichtein, Chris Burges, Eric Brill: Question Answering over Implicitly Structured Web Content. Web Intelligence 2007: 18-25
	2006
30		Michael J. Taylor, Hugo Zaragoza, Nick Craswell, Stephen Robertson, Chris Burges: Optimisation methods for ranking functions with multiple parameters. CIKM 2006: 585-593
29		Christopher J. C. Burges, Robert Ragno, Quoc Viet Le: Learning to Rank with Nonsmooth Cost Functions. NIPS 2006: 193-200
28		Irina Matveeva, Chris Burges, Timo Burkard, Andy Laucius, Leon Wong: High accuracy retrieval with multiple nested ranker. SIGIR 2006: 437-444
	2005
27		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
26		Robert 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
	2004
24		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
	2003
23		Christopher J. C. Burges, John C. Platt, Jonathan Goldstein: Identifying audio clips with RARE. ACM Multimedia 2003: 444-445
22		Christopher 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
20		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)
19		Christopher J. C. Burges, David J. Crisp: Uniqueness theorems for kernel methods. Neurocomputing 55(1-2): 187-220 (2003)
	2002
18		Nello Cristianini, Colin Campbell, Chris Burges: Editorial: Kernel Methods: Current Research and Future Directions. Machine Learning 46(1-3): 5-9 (2002)
	2001
17		Christopher J. C. Burges, Patrice Simard, Henrique S. Malvar: Improving Wavelet Compression with Neural Networks. Data Compression Conference 2001: 486
16		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
	1999
15		Christopher J. C. Burges, David J. Crisp: Uniqueness of the SVM Solution. NIPS 1999: 223-229
14		David J. Crisp, Christopher J. C. Burges: A Geometric Interpretation of v-SVM Classifiers. NIPS 1999: 244-250
13		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)
	1998
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)
	1996
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
7		Harris Drucker, Christopher J. C. Burges, Linda Kaufman, Alex J. Smola, Vladimir Vapnik: Support Vector Regression Machines. NIPS 1996: 155-161
6		Christopher J. C. Burges, Bernhard Schölkopf: Improving the Accuracy and Speed of Support Vector Machines. NIPS 1996: 375-381
	1995
5		Bernhard Schölkopf, Chris Burges, Vladimir Vapnik: Extracting Support Data for a Given Task. KDD 1995: 252-257
4		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)
	1993
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)
	1992
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)
	1991
1		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

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

Colors in the list of coauthors