Olivier Chapelle

2006
27	EE	Olivier Chapelle, Mingmin Chi, Alexander Zien: A continuation method for semi-supervised SVMs. ICML 2006: 185-192
26	EE	Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chapelle: Deterministic annealing for semi-supervised kernel machines. ICML 2006: 841-848
25	EE	Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keerthi: Branch and Bound for Semi-Supervised Support Vector Machines. NIPS 2006: 217-224
24	EE	Christian Walder, Bernhard Schölkopf, Olivier Chapelle: Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. NIPS 2006: 273-280
23	EE	S. Sathiya Keerthi, Vikas Sindhwani, Olivier Chapelle: An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models. NIPS 2006: 673-680
22	EE	Christian Walder, Bernhard Schölkopf, Olivier Chapelle: Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Comput. Graph. Forum 25(3): 635-644 (2006)
21	EE	S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCoste: Building Support Vector Machines with Reduced Classifier Complexity. Journal of Machine Learning Research 7: 1493-1515 (2006)
2005
20	EE	Adam Kowalczyk, Olivier Chapelle: An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron. ALT 2005: 78-91
19	EE	Christian Walder, Olivier Chapelle, Bernhard Schölkopf: Implicit surface modelling as an eigenvalue problem. ICML 2005: 936-939
18	EE	Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc J. Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang: The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176
17	EE	Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chapelle: Estimating Predictive Variances with Kernel Ridge Regression. MLCW 2005: 56-77
2004
16	EE	Olivier Chapelle, Zaid Harchaoui: A Machine Learning Approach to Conjoint Analysis. NIPS 2004
15	EE	Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf: Feature Selection for Support Vector Machines Using Genetic Algorithms. International Journal on Artificial Intelligence Tools 13(4): 791-800 (2004)
2003
14	EE	Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf: Feature Selection for Support Vector Machines by Means of Genetic Algorithms. ICTAI 2003: 142-148
13	EE	Olivier Bousquet, Olivier Chapelle, Matthias Hein: Measure Based Regularization. NIPS 2003
12		Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf: Feature selection and transduction for prediction of molecular bioactivity for drug design. Bioinformatics 19(6): 764-771 (2003)
2002
11	EE	Olivier Chapelle, Jason Weston, Bernhard Schölkopf: Cluster Kernels for Semi-Supervised Learning. NIPS 2002: 585-592
10	EE	Jason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik: Kernel Dependency Estimation. NIPS 2002: 873-880
9		Olivier Chapelle, Vladimir Vapnik, Olivier Bousquet, Sayan Mukherjee: Choosing Multiple Parameters for Support Vector Machines. Machine Learning 46(1-3): 131-159 (2002)
8		Olivier Chapelle, Vladimir Vapnik, Yoshua Bengio: Model Selection for Small Sample Regression. Machine Learning 48(1-3): 9-23 (2002)
2001
7	EE	Olivier Chapelle, Bernhard Schölkopf: Incorporating Invariances in Non-Linear Support Vector Machines. NIPS 2001: 609-616
2000
6		Olivier Chapelle, Jason Weston, Léon Bottou, Vladimir Vapnik: Vicinal Risk Minimization. NIPS 2000: 416-422
5		Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik: Feature Selection for SVMs. NIPS 2000: 668-674
4		Vladimir Vapnik, Olivier Chapelle: Bounds on Error Expectation for Support Vector Machines. Neural Computation 12(9): 2013-2036 (2000)
1999
3	EE	Olivier Chapelle, Vladimir Vapnik: Model Selection for Support Vector Machines. NIPS 1999: 230-236
2	EE	Olivier Chapelle, Vladimir Vapnik, Jason Weston: Transductive Inference for Estimating Values of Functions. NIPS 1999: 421-427
1	EE	Olivier Chapelle, Patrick Haffner, Vladimir Vapnik: Support vector machines for histogram-based image classification. IEEE Transactions on Neural Networks 10(5): 1055-1064 (1999)

Coauthor Index

1	Moray Allan	[18]
2	Yoshua Bengio	[8]
3	Christopher M. Bishop	[18]
4	Léon Bottou	[6]
5	Olivier Bousquet	[9] [12] [13]
6	Gavin C. Cawley	[17]
7	Mingmin Chi	[27]
8	Navneet Dalal	[18]
9	Dennis DeCoste	[21]
10	Thomas Deselaers	[18]
11	Gyuri Dorkó	[18]
12	Stefan Duffner	[18]
13	Jan Eichhorn	[18]
14	André Elisseeff	[10] [12]
15	Mark Everingham	[18]
16	Jason D. R. Farquhar	[18]
17	Mario Fritz	[18]
18	Holger Fröhlich	[14] [15]
19	Christophe Garcia	[18]
20	Luc J. Van Gool	[18]
21	Tom Griffiths	[18]
22	Patrick Haffner	[1]
23	Zaid Harchaoui	[16]
24	Matthias Hein	[13]
25	Frédéric Jurie	[18]
26	S. Sathiya Keerthi	[21] [23] [25] [26]
27	Daniel Keysers	[18]
28	Markus Koskela	[18]
29	Adam Kowalczyk	[20]
30	Jorma Laaksonen	[18]
31	Diane Larlus	[18]
32	Bastian Leibe	[18]
33	Hongying Meng	[18]
34	Sayan Mukherjee	[5] [9]
35	Hermann Ney	[18]
36	Fernando Pérez-Cruz	[12]
37	Tomaso Poggio	[5]
38	Massimiliano Pontil	[5]
39	Bernt Schiele	[18]
40	Cordelia Schmid	[18]
41	Bernhard Schölkopf	[7] [10] [11] [12] [14] [15] [19] [22] [24]
42	Edgar Seemann	[18]
43	John Shawe-Taylor	[18]
44	Vikas Sindhwani	[23] [25] [26]
45	Amos J. Storkey	[18]
46	Sándor Szedmák	[18]
47	Nicola L. C. Talbot	[17]
48	Bill Triggs	[18]
49	Ilkay Ulusoy	[18]
50	Vladimir Vapnik	[1] [2] [3] [4] [5] [6] [8] [9] [10]
51	Ville Viitaniemi	[18]
52	Christian Walder	[19] [22] [24]
53	Jason Weston	[2] [5] [6] [10] [11] [12]
54	Christopher K. I. Williams	[18]
55	Jianguo Zhang	[18]
56	Alexander Zien	[27]
57	Andrew Zisserman	[18]

Colors in the list of coauthors