Christopher J. C. Burges

Chris Burges

	2011
47		Krysta Marie Svore, Maksims Volkovs, Christopher J. C. Burges: Learning to rank with multiple objective functions. WWW 2011: 367-376
46		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)
	2010
45		Christopher J. C. Burges: Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour. Data Mining and Knowledge Discovery Handbook 2010: 53-82
44		Christopher J. C. Burges: Dimension Reduction: A Guided Tour. Foundations and Trends in Machine Learning 2(4): (2010)
43		Qiang Wu, Christopher J. C. Burges, Krysta Marie Svore, Jianfeng Gao: Adapting boosting for information retrieval measures. Inf. Retr. 13(3): 254-270 (2010)
	2009
42		Krysta Marie Svore, Christopher J. C. Burges: A machine learning approach for improved BM25 retrieval. CIKM 2009: 1811-1814
41		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
40		Pinar Donmez, Krysta Marie Svore, Christopher J. C. Burges: On the local optimality of LambdaRank. SIGIR 2009: 460-467
	2008
39		Krysta Marie Svore, Lucy Vanderwende, Christopher J. C. Burges: Using Signals of Human Interest to Enhance Single-document Summarization. AAAI 2008: 1577-1580
	2007
38		Krysta Marie Svore, Qiang Wu, Chris Burges, Aaswath Raman: Improving Web Spam Classification using Rank-time Features. AIRWeb 2007
37		Dengyong Zhou, Chris Burges, Tao Tao: Transductive Link Spam Detection. AIRWeb 2007
36		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
35		Dengyong Zhou, Christopher J. C. Burges: Spectral clustering and transductive learning with multiple views. ICML 2007: 1159-1166
34		Ping Li, Christopher J. C. Burges, Qiang Wu: McRank: Learning to Rank Using Multiple Classification and Gradient Boosting. NIPS 2007
33		Eugene Agichtein, Chris Burges, Eric Brill: Question Answering over Implicitly Structured Web Content. Web Intelligence 2007: 18-25
	2006
32		Michael J. Taylor, Hugo Zaragoza, Nick Craswell, Stephen Robertson, Chris Burges: Optimisation methods for ranking functions with multiple parameters. CIKM 2006: 585-593
31		Christopher J. C. Burges, Robert Ragno, Quoc Viet Le: Learning to Rank with Nonsmooth Cost Functions. NIPS 2006: 193-200
30		Irina Matveeva, Chris Burges, Timo Burkard, Andy Laucius, Leon Wong: High accuracy retrieval with multiple nested ranker. SIGIR 2006: 437-444
	2005
29		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
28		Robert Ragno, Christopher J. C. Burges, Cormac Herley: Inferring similarity between music objects with application to playlist generation. Multimedia Information Retrieval 2005: 73-80
27		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
26		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
25		Somsak Sukittanon, Arun C. Surendran, John C. Platt, Christopher J. C. Burges: Convolutional networks for speech detection. INTERSPEECH 2004
	2003
24		Christopher J. C. Burges, John C. Platt, Jonathan Goldstein: Identifying audio clips with RARE. ACM Multimedia 2003: 444-445
23		Christopher J. C. Burges: Some Notes on Applied Mathematics for Machine Learning. Advanced Lectures on Machine Learning 2003: 21-40
22		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
21		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)
20		Christopher J. C. Burges, David J. Crisp: Uniqueness theorems for kernel methods. Neurocomputing 55(1-2): 187-220 (2003)
	2002
19		Nello Cristianini, Colin Campbell, Chris Burges: Editorial: Kernel Methods: Current Research and Future Directions. Machine Learning 46(1-3): 5-9 (2002)
	2001
18		Christopher J. C. Burges, Patrice Simard, Henrique S. Malvar: Improving Wavelet Compression with Neural Networks. Data Compression Conference 2001: 486
17		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
16		Christopher J. C. Burges, David J. Crisp: Uniqueness of the SVM Solution. NIPS 1999: 223-229
15		David J. Crisp, Christopher J. C. Burges: A Geometric Interpretation of v-SVM Classifiers. NIPS 1999: 244-250
14		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
13		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
12		Christopher J. C. Burges: A Tutorial on Support Vector Machines for Pattern Recognition. Data Min. Knowl. Discov. 2(2): 121-167 (1998)
	1997
11		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
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	[33]
2	Henry S. Baird	[2]
3	Jan Ben	[3]
4	Yoshua Bengio	[4]
5	Paul N. Bennett	[46]
6	Volker Blanz	[10]
7	Eric Brill	[33]
8	Jane Bromley	[2]
9	Heinrich H. Bülthoff	[10]
10	Timo Burkard	[30]
11	Colin Campbell	[19]
12	Nick Craswell	[32]
13	David J. Crisp	[15] [16] [20]
14	Nello Cristianini	[19]
15	Matt Deeds	[29]
16	John S. Denker	[1] [2] [3]
17	Pinar Donmez	[40]
18	Harris Drucker	[7]
19	Jianfeng Gao	[41] [43]
20	Federico Girosi	[11]
21	Jonathan Goldstein	[24] [26]
22	Nicole Hamilton	[29]
23	Cormac Herley	[28]
24	Gregory N. Hullender	[29]
25	Lawrence D. Jackel	[2]
26	Soumya Jana	[21]
27	Linda Kaufman	[7]
28	Nazan Khan	[41]
29	Phil Knirsch	[13] [14]
30	Andy Laucius	[30]
31	Ari Lazier	[29]
32	Quoc V. Le (Quoc Viet Le)	[31]
33	Yann LeCun	[1] [2] [3] [4]
34	Ping Li	[34]
35	Henrique S. Malvar	[18] [22]
36	Ofer Matan	[1] [2]
37	Irina Matveeva	[30]
38	Sebastian Mika	[14]
39	Klaus-Robert Müller	[14]
40	Partha Niyogi	[11]
41	Craig R. Nohl	[3] [4]
42	Andrzej Pastusiak	[46]
43	Edwin P. D. Pednault	[2]
44	John C. Platt	[17] [21] [24] [25] [26]
45	Tomaso Poggio	[11]
46	Robert Ragno	[28] [31]
47	Aaswath Raman	[38]
48	Gunnar Rätsch	[14]
49	Erin Renshaw	[29]
50	Stephen E. Robertson (Stephen Robertson)	[32]
51	William Satterfield	[2]
52	Bernhard Schölkopf	[5] [6] [9] [10] [11] [13] [14]
53	Shalin Shah	[41]
54	Tal Shaked	[29]
55	Patrice Y. Simard (Patrice Simard)	[18] [22]
56	Alexander J. Smola (Alex J. Smola)	[7] [13] [14]
57	David Steinkraus	[22]
58	Charles E. Stenard	[2]
59	Yi Su	[41]
60	Somsak Sukittanon	[25]
61	Kah Kay Sung	[11]
62	Arun C. Surendran	[25]
63	Krysta Marie Svore	[36] [38] [39] [40] [41] [42] [43] [46] [47]
64	S. Swenson	[17]
65	Tao Tao	[37]
66	Michael J. Taylor	[32]
67	Timothy J. Thompson	[2]
68	Lucy Vanderwende	[36] [39]
69	Vladimir Vapnik	[5] [7] [9] [10] [11]
70	Thomas Vetter	[10]
71	Maksims Volkovs	[47]
72	C. Weare	[17]
73	Leon Wong	[30]
74	Qiang Wu	[34] [38] [41] [43] [46]
75	Hugo Zaragoza	[32]
76	A. Zheng	[17]
77	Dengyong Zhou	[35] [37]
78	Hongyan Zhou	[41]

Colors in the list of coauthors

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