dblp.uni-trier.dewww.uni-trier.de

Bernhard Schölkopf

List of publications from the DBLP Bibliography Server - FAQ
Coauthor Index - Ask others: ACM DL/Guide - CiteSeer - CSB - Google - MSN - Yahoo

2009
146EEBharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf: A note on integral probability metrics and $\phi$-divergences CoRR abs/0901.2698: (2009)
2008
145EEGuillaume Charpiat, Matthias Hofmann, Bernhard Schölkopf: Automatic Image Colorization Via Multimodal Predictions. ECCV (3) 2008: 126-139
144EEDuy Nguyen-Tuong, Jan Peters, Matthias Seeger, Bernhard Schölkopf: Learning Inverse Dynamics: a Comparison. ESANN 2008: 13-18
143EEPia Breuer, Kwang In Kim, Wolf Kienzle, Bernhard Schölkopf, Volker Blanz: Automatic 3D face reconstruction from single images or video. FG 2008: 1-8
142EEChristian Walder, Kwang In Kim, Bernhard Schölkopf: Sparse multiscale gaussian process regression. ICML 2008: 1112-1119
141EELe Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton, Bernhard Schölkopf: Tailoring density estimation via reproducing kernel moment matching. ICML 2008: 992-999
140EEGabriele Schweikert, Christian Widmer, Bernhard Schölkopf, Gunnar Rätsch: An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis. NIPS 2008: 1433-1440
139EEMatthias W. Seeger, Hannes Nickisch, Rolf Pohmann, Bernhard Schölkopf: Bayesian Experimental Design of Magnetic Resonance Imaging Sequences. NIPS 2008: 1441-1448
138EEChristian Walder, Bernhard Schölkopf: Diffeomorphic Dimensionality Reduction. NIPS 2008: 1713-1720
137EEKenji Fukumizu, Bharath K. Sriperumbudur, Arthur Gretton, Bernhard Schölkopf: Characteristic Kernels on Groups and Semigroups. NIPS 2008: 473-480
136EEN. Jeremy Hill, Jason Farquhar, Suzanna Martens, Felix Bießmann, Bernhard Schölkopf: Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance. NIPS 2008: 665-672
135EEPatrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkopf: Nonlinear causal discovery with additive noise models. NIPS 2008: 689-696
134EEDominik Janzing, Bernhard Schölkopf: Causal inference using the algorithmic Markov condition CoRR abs/0804.3678: (2008)
133EEArthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola: A Kernel Method for the Two-Sample Problem CoRR abs/0805.2368: (2008)
132EEFlorian Steinke, Matthias Hein, Jan Peters, Bernhard Schölkopf: Manifold-valued Thin-Plate Splines with Applications in Computer Graphics. Comput. Graph. Forum 27(2): 437-448 (2008)
131EEWilliam T. Freeman, Pietro Perona, Bernhard Schölkopf: Guest Editorial. International Journal of Computer Vision 77(1-3): 1 (2008)
130EEXiaohai Sun, Dominik Janzing, Bernhard Schölkopf: Causal reasoning by evaluating the complexity of conditional densities with kernel methods. Neurocomputing 71(7-9): 1248-1256 (2008)
129EEFlorian Steinke, Bernhard Schölkopf: Kernels, regularization and differential equations. Pattern Recognition 41(11): 3271-3286 (2008)
2007
128 Bernhard Schölkopf, John C. Platt, Thomas Hoffman: Advances in Neural Information Processing Systems 19, Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 4-7, 2006 MIT Press 2007
127 Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola: A Kernel Approach to Comparing Distributions. AAAI 2007: 1637-1641
126EEAlex J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf: A Hilbert Space Embedding for Distributions. ALT 2007: 13-31
125EEJan Peters, Stefan Schaal, Bernhard Schölkopf: Towards Machine Learning of Motor Skills. AMS 2007: 138-144
124EEWolf Kienzle, Bernhard Schölkopf, Felix A. Wichmann, Matthias O. Franz: How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements. DAGM-Symposium 2007: 405-414
123EEAlexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf: A Hilbert Space Embedding for Distributions. Discovery Science 2007: 40-41
122EEXiaohai Sun, Dominik Janzing, Bernhard Schölkopf: Distinguishing between cause and effect via kernel-based complexity measures for conditional distributions. ESANN 2007: 441-446
121EEMingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf: Local learning projections. ICML 2007: 1039-1046
120EEXiaohai Sun, Dominik Janzing, Bernhard Schölkopf, Kenji Fukumizu: A kernel-based causal learning algorithm. ICML 2007: 855-862
119EEArthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alex J. Smola: A Kernel Statistical Test of Independence. NIPS 2007
118EEFabian H. Sinz, Olivier Chapelle, Alekh Agarwal, Bernhard Schölkopf: An Analysis of Inference with the Universum. NIPS 2007
117EEKenji Fukumizu, Arthur Gretton, Xiaohai Sun, Bernhard Schölkopf: Kernel Measures of Conditional Dependence. NIPS 2007
2006
116EEN. Jeremy Hill, Thomas Navin Lal, Michael Schröder, Thilo Hinterberger, Guido Widman, Christian Erich Elger, Bernhard Schölkopf, Niels Birbaumer: Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals. DAGM-Symposium 2006: 404-413
115EEKarsten M. Borgwardt, Arthur Gretton, Malte J. Rasch, Hans-Peter Kriegel, Bernhard Schölkopf, Alexander J. Smola: Integrating structured biological data by Kernel Maximum Mean Discrepancy. ISMB (Supplement of Bioinformatics) 2006: 49-57
114EEFlorian Steinke, Bernhard Schölkopf, Volker Blanz: Learning Dense 3D Correspondence. NIPS 2006: 1313-1320
113EEMingrui Wu, Bernhard Schölkopf: A Local Learning Approach for Clustering. NIPS 2006: 1529-1536
112EEDengyong Zhou, Jiayuan Huang, Bernhard Schölkopf: Learning with Hypergraphs: Clustering, Classification, and Embedding. NIPS 2006: 1601-1608
111EEChristian Walder, Bernhard Schölkopf, Olivier Chapelle: Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. NIPS 2006: 273-280
110EEArthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola: A Kernel Method for the Two-Sample-Problem. NIPS 2006: 513-520
109EEJiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf: Correcting Sample Selection Bias by Unlabeled Data. NIPS 2006: 601-608
108EEWolf Kienzle, Felix A. Wichmann, Bernhard Schölkopf, Matthias O. Franz: A Nonparametric Approach to Bottom-Up Visual Saliency. NIPS 2006: 689-696
107EEChristian Walder, Bernhard Schölkopf, Olivier Chapelle: Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Comput. Graph. Forum 25(3): 635-644 (2006)
106EESören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf: Large Scale Multiple Kernel Learning. Journal of Machine Learning Research 7: 1531-1565 (2006)
105EEMingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir: A Direct Method for Building Sparse Kernel Learning Algorithms. Journal of Machine Learning Research 7: 603-624 (2006)
104EEArnulf B. A. Graf, Felix A. Wichmann, Heinrich H. Bülthoff, Bernhard Schölkopf: Classification of Faces in Man and Machine. Neural Computation 18(1): 143-165 (2006)
103EEMatthias O. Franz, Bernhard Schölkopf: A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression. Neural Computation 18(12): 3097-3118 (2006)
2005
102EEArthur Gretton, Olivier Bousquet, Alex J. Smola, Bernhard Schölkopf: Measuring Statistical Dependence with Hilbert-Schmidt Norms. ALT 2005: 63-77
101EEDengyong Zhou, Bernhard Schölkopf: Regularization on Discrete Spaces. DAGM-Symposium 2005: 361-368
100EEKoji Tsuda, Hyunjung Shin, Bernhard Schölkopf: Fast protein classification with multiple networks. ECCB/JBI 2005: 65
99EEWolf Kienzle, Bernhard Schölkopf: Training Support Vector Machines with Multiple Equality Constraints. ECML 2005: 182-193
98EEDengyong Zhou, Jiayuan Huang, Bernhard Schölkopf: Learning from labeled and unlabeled data on a directed graph. ICML 2005: 1036-1043
97EEThomas Navin Lal, Michael Schröder, N. Jeremy Hill, Hubert Preißl, Thilo Hinterberger, Jürgen Mellinger, Martin Bogdan, Wolfgang Rosenstiel, Thomas Hofmann, Niels Birbaumer, Bernhard Schölkopf: A brain computer interface with online feedback based on magnetoencephalography. ICML 2005: 465-472
96EEBernhard Schölkopf, Florian Steinke, Volker Blanz: Object correspondence as a machine learning problem. ICML 2005: 776-783
95EESören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf: Large scale genomic sequence SVM classifiers. ICML 2005: 848-855
94EEChristian Walder, Olivier Chapelle, Bernhard Schölkopf: Implicit surface modelling as an eigenvalue problem. ICML 2005: 936-939
93EEMingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir: Building Sparse Large Margin Classifiers. ICML 2005: 996-1003
92EEGunnar Rätsch, Sören Sonnenburg, Bernhard Schölkopf: RASE: recognition of alternatively spliced exons in C.elegans. ISMB (Supplement of Bioinformatics) 2005: 369-377
91EEJason Weston, Bernhard Schölkopf, Olivier Bousquet: Joint Kernel Maps. IWANN 2005: 176-191
90EETobias Jung, Luis Herrera, Bernhard Schölkopf: Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach. IWANN 2005: 960-967
89EEJoaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf: Evaluating Predictive Uncertainty Challenge. MLCW 2005: 1-27
88EEFlorian Steinke, Bernhard Schölkopf, Volker Blanz: Support Vector Machines for 3D Shape Processing. Comput. Graph. Forum 24(3): 285-294 (2005)
87EEKwang In Kim, Matthias O. Franz, Bernhard Schölkopf: Iterative Kernel Principal Component Analysis for Image Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 27(9): 1351-1366 (2005)
86EEMatthias Hein, Olivier Bousquet, Bernhard Schölkopf: Maximal margin classification for metric spaces. J. Comput. Syst. Sci. 71(3): 333-359 (2005)
85EEArthur Gretton, Ralf Herbrich, Alexander J. Smola, Olivier Bousquet, Bernhard Schölkopf: Kernel Methods for Measuring Independence. Journal of Machine Learning Research 6: 2075-2129 (2005)
84EEAthanassia Chalimourda, Bernhard Schölkopf, Alex J. Smola: Experimentally optimal nu in support vector regression for different noise models and parameter settings. Neural Networks 18(2): 205- (2005)
2004
83 Sebastian Thrun, Lawrence K. Saul, Bernhard Schölkopf: Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, NIPS 2003, December 8-13, 2003, Vancouver and Whistler, British Columbia, Canada] MIT Press 2004
82 Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf, Martin A. Giese: Pattern Recognition, 26th DAGM Symposium, August 30 - September 1, 2004, Tübingen, Germany, Proceedings Springer 2004
81EEMatthias O. Franz, Younghee Kwon, Carl Edward Rasmussen, Bernhard Schölkopf: Semi-supervised Kernel Regression Using Whitened Function Classes. DAGM-Symposium 2004: 18-26
80EEDengyong Zhou, Bernhard Schölkopf: Learning from Labeled and Unlabeled Data Using Random Walks. DAGM-Symposium 2004: 237-244
79EEGökhan H. Bakir, Arthur Gretton, Matthias O. Franz, Bernhard Schölkopf: Multivariate Regression via Stiefel Manifold Constraints. DAGM-Symposium 2004: 262-269
78EEWolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf: Efficient Approximations for Support Vector Machines in Object Detection. DAGM-Symposium 2004: 54-61
77EEJihun Ham, Daniel D. Lee, Sebastian Mika, Bernhard Schölkopf: A kernel view of the dimensionality reduction of manifolds. ICML 2004
76EEN. Jeremy Hill, Thomas Navin Lal, Karin Bierig, Niels Birbaumer, Bernhard Schölkopf: An Auditory Paradigm for Brain-Computer Interfaces. NIPS 2004
75EEWolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf: Face Detection - Efficient and Rank Deficient. NIPS 2004
74EEMatthias O. Franz, Bernhard Schölkopf: Implicit Wiener Series for Higher-Order Image Analysis. NIPS 2004
73EEBernhard Schölkopf, Joachim Giesen, Simon Spalinger: Kernel Methods for Implicit Surface Modeling. NIPS 2004
72EEFelix A. Wichmann, Arnulf B. A. Graf, Eero P. Simoncelli, Heinrich H. Bülthoff, Bernhard Schölkopf: Machine Learning Applied to Perception: Decision Images for Gender Classification. NIPS 2004
71EEThomas Navin Lal, Thilo Hinterberger, Guido Widman, Michael Schröder, N. Jeremy Hill, Wolfgang Rosenstiel, Christian Erich Elger, Bernhard Schölkopf, Niels Birbaumer: Methods Towards Invasive Human Brain Computer Interfaces. NIPS 2004
70EEDengyong Zhou, Bernhard Schölkopf, Thomas Hofmann: Semi-supervised Learning on Directed Graphs. NIPS 2004
69EEHolger 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)
68EEUlrike von Luxburg, Olivier Bousquet, Bernhard Schölkopf: A Compression Approach to Support Vector Model Selection. Journal of Machine Learning Research 5: 293-323 (2004)
67EEAthanassia Chalimourda, Bernhard Schölkopf, Alex J. Smola: Experimentally optimal v in support vector regression for different noise models and parameter settings. Neural Networks 17(1): 127-141 (2004)
66EEAlexander J. Smola, Bernhard Schölkopf: A tutorial on support vector regression. Statistics and Computing 14(3): 199-222 (2004)
2003
65 Bernhard Schölkopf, Manfred K. Warmuth: Computational Learning Theory and Kernel Machines, 16th Annual Conference on Computational Learning Theory and 7th Kernel Workshop, COLT/Kernel 2003, Washington, DC, USA, August 24-27, 2003, Proceedings Springer 2003
64EEHolger Fröhlich, Olivier Chapelle, Bernhard Schölkopf: Feature Selection for Support Vector Machines by Means of Genetic Algorithms. ICTAI 2003: 142-148
63EEGökhan H. Bakir, Jason Weston, Bernhard Schölkopf: Learning to Find Pre-Images. NIPS 2003
62EEDengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, Bernhard Schölkopf: Learning with Local and Global Consistency. NIPS 2003
61EEJan Eichhorn, Andreas S. Tolias, Alexander Zien, Malte Kuss, Carl Edward Rasmussen, Jason Weston, Nikos Logothetis, Bernhard Schölkopf: Prediction on Spike Data Using Kernel Algorithms. NIPS 2003
60EEDengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf: Ranking on Data Manifolds. NIPS 2003
59 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)
58EEBernhard Schölkopf: Statistical learning theory, capacity, and complexity. Complexity 8(4): 87-94 (2003)
57EESebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller: Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces. IEEE Trans. Pattern Anal. Mach. Intell. 25(5): 623-633 (2003)
56EEJason Weston, André Elisseeff, Bernhard Schölkopf, Michael E. Tipping: Use of the Zero-Norm with Linear Models and Kernel Methods. Journal of Machine Learning Research 3: 1439-1461 (2003)
2002
55EEBernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble: A Kernel Approach for Learning from almost Orthogonal Patterns. ECML 2002: 511-528
54EEBernhard Schölkopf, Alex J. Smola: A Short Introduction to Learning with Kernels. Machine Learning Summer School 2002: 41-64
53EEAlex J. Smola, Bernhard Schölkopf: Bayesian Kernel Methods. Machine Learning Summer School 2002: 65-117
52EEOlivier Chapelle, Jason Weston, Bernhard Schölkopf: Cluster Kernels for Semi-Supervised Learning. NIPS 2002: 585-592
51EEJason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik: Kernel Dependency Estimation. NIPS 2002: 873-880
50EEBernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble: A Kernel Approach for Learning from Almost Orthogonal Patterns. PKDD 2002: 494-511
49 Nello Cristianini, Bernhard Schölkopf: Support Vector Machines and Kernel Methods: The New Generation of Learning Machines. AI Magazine 23(3): 31-42 (2002)
48EEGunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Klaus-Robert Müller: Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. 24(9): 1184-1199 (2002)
47 Dennis DeCoste, Bernhard Schölkopf: Training Invariant Support Vector Machines. Machine Learning 46(1-3): 161-190 (2002)
2001
46EEBernhard Schölkopf, Ralf Herbrich, Alex J. Smola: A Generalized Representer Theorem. COLT/EuroCOLT 2001: 416-426
45 Stan Z. Li, QingDong Fu, Lie Gu, Bernhard Schölkopf, Yimin Cheng, HongJiang Zhang: Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation. ICCV 2001: 674-679
44 Sami Romdhani, Philip H. S. Torr, Bernhard Schölkopf, Andrew Blake: Computationally Efficient Face Detection. ICCV 2001: 695-700
43 Neil D. Lawrence, Bernhard Schölkopf: Estimating a Kernel Fisher Discriminant in the Presence of Label Noise. ICML 2001: 306-313
42EEDimitris Achlioptas, Frank McSherry, Bernhard Schölkopf: Sampling Techniques for Kernel Methods. NIPS 2001: 335-342
41EEOlivier Chapelle, Bernhard Schölkopf: Incorporating Invariances in Non-Linear Support Vector Machines. NIPS 2001: 609-616
40 Robert C. Williamson, Alex J. Smola, Bernhard Schölkopf: Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators. IEEE Transactions on Information Theory 47(6): 2516-2532 (2001)
39EEAlex J. Smola, Sebastian Mika, Bernhard Schölkopf, Robert C. Williamson: Regularized Principal Manifolds. Journal of Machine Learning Research 1: 179-209 (2001)
38 Bernhard Schölkopf, John C. Platt, John Shawe-Taylor, Alex J. Smola, Robert C. Williamson: Estimating the Support of a High-Dimensional Distribution. Neural Computation 13(7): 1443-1471 (2001)
2000
37 Robert C. Williamson, Alex J. Smola, Bernhard Schölkopf: Entropy Numbers of Linear Function Classes. COLT 2000: 309-319
36 Alex J. Smola, Bernhard Schölkopf: Sparse Greedy Matrix Approximation for Machine Learning. ICML 2000: 911-918
35EEAthanassia Chalimourda, Bernhard Schölkopf, Alex J. Smola: Choosing in Support Vector Regression with Different Noise Models: Theory and Experiments. IJCNN (5) 2000: 199-204
34 Bernhard Schölkopf: The Kernel Trick for Distances. NIPS 2000: 301-307
33 Susanne Still, Bernhard Schölkopf, Klaus Hepp, Rodney J. Douglas: Four-legged Walking Gait Control Using a Neuromorphic Chip Interfaced to a Support Vector Learning Algorithm. NIPS 2000: 741-747
32 Paul Hayton, Bernhard Schölkopf, Lionel Tarassenko, Paul Anuzis: Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra. NIPS 2000: 946-952
31 Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller: Robust Ensemble Learning for Data Mining. PAKDD 2000: 341-344
30 Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Thomas Lengauer, Klaus-Robert Müller: Engineering support vector machine kernels that recognize translation initiation sites. Bioinformatics 16(9): 799-807 (2000)
29 Bernhard Schölkopf, Alex J. Smola, Robert C. Williamson, Peter L. Bartlett: New Support Vector Algorithms. Neural Computation 12(5): 1207-1245 (2000)
1999
28EEAlex J. Smola, Robert C. Williamson, Sebastian Mika, Bernhard Schölkopf: Regularized Principal Manifolds. EuroCOLT 1999: 214-229
27EERobert C. Williamson, Alex J. Smola, Bernhard Schölkopf: Entropy Numbers, Operators and Support Vector Kernels. EuroCOLT 1999: 285-299
26 Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Christian Lemmen, Alex J. Smola, Thomas Lengauer, Klaus-Robert Müller: Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites. German Conference on Bioinformatics 1999: 37-43
25EEAlex J. Smola, John Shawe-Taylor, Bernhard Schölkopf, Robert C. Williamson: The Entropy Regularization Information Criterion. NIPS 1999: 342-348
24EESebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller: Invariant Feature Extraction and Classification in Kernel Spaces. NIPS 1999: 526-532
23EEGunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika: v-Arc: Ensemble Learning in the Presence of Outliers. NIPS 1999: 561-567
22EEBernhard Schölkopf, Robert C. Williamson, Alex J. Smola, John Shawe-Taylor, John C. Platt: Support Vector Method for Novelty Detection. NIPS 1999: 582-588
21EEBernhard 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)
20EEBernhard Schölkopf, Klaus-Robert Müller, Alex J. Smola: Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten. Inform., Forsch. Entwickl. 14(3): 154-163 (1999)
1998
19 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
18 Matthias O. Franz, Bernhard Schölkopf, Hanspeter A. Mallot, Heinrich H. Bülthoff, Andreas Zell: Navigation mit Schnappschüssen. DAGM-Symposium 1998: 421-428
17EEBernhard Schölkopf, Peter L. Bartlett, Alex J. Smola, Robert C. Williamson: Shrinking the Tube: A New Support Vector Regression Algorithm. NIPS 1998: 330-336
16EESebastian Mika, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch: Kernel PCA and De-Noising in Feature Spaces. NIPS 1998: 536-542
15EEAlex J. Smola, Thilo-Thomas Frieß, Bernhard Schölkopf: Semiparametric Support Vector and Linear Programming Machines. NIPS 1998: 585-591
14 Alex J. Smola, Bernhard Schölkopf: On a Kernel-Based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion. Algorithmica 22(1/2): 211-231 (1998)
13 Matthias O. Franz, Bernhard Schölkopf, Hanspeter A. Mallot, Heinrich H. Bülthoff: Learning View Graphs for Robot Navigation. Auton. Robots 5(1): 111-125 (1998)
12 Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller: Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural Computation 10(5): 1299-1319 (1998)
11EEAlex J. Smola, Bernhard Schölkopf, Klaus-Robert Müller: The connection between regularization operators and support vector kernels. Neural Networks 11(4): 637-649 (1998)
1997
10 Matthias O. Franz, Bernhard Schölkopf, Philip Georg, Hanspeter A. Mallot, Heinrich H. Bülthoff: Learning View Graphs for Robot Navigation. Agents 1997: 138-147
9 Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller: Kernel Principal Component Analysis. ICANN 1997: 583-588
8 Hanspeter A. Mallot, Matthias O. Franz, Bernhard Schölkopf, Heinrich H. Bülthoff: The View-Graph Approach to Visual Navigation and Spatial Memory. ICANN 1997: 751-756
7 Klaus-Robert Müller, Alex J. Smola, Gunnar Rätsch, Bernhard Schölkopf, Jens Kohlmorgen, Vladimir Vapnik: Predicting Time Series with Support Vector Machines. ICANN 1997: 999-1004
6 Alex J. Smola, Bernhard Schölkopf: From Regularization Operators to Support Vector Kernels. NIPS 1997
5 Bernhard Schölkopf, Patrice Simard, Alex J. Smola, Vladimir Vapnik: Prior Knowledge in Support Vector Kernels. NIPS 1997
1996
4 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
3 Bernhard Schölkopf, Chris Burges, Vladimir Vapnik: Incorporating Invariances in Support Vector Learning Machines. ICANN 1996: 47-52
2EEChristopher J. C. Burges, Bernhard Schölkopf: Improving the Accuracy and Speed of Support Vector Machines. NIPS 1996: 375-381
1995
1 Bernhard Schölkopf, Chris Burges, Vladimir Vapnik: Extracting Support Data for a Given Task. KDD 1995: 252-257

Coauthor Index

1Dimitris Achlioptas [42]
2Alekh Agarwal [118]
3Paul Anuzis [32]
4Gökhan H. Bakir [63] [75] [78] [79] [93] [105]
5Peter L. Bartlett [17] [29]
6Karin Bierig [76]
7Felix Bießmann [136]
8Niels Birbaumer [71] [76] [97] [116]
9Andrew Blake [44]
10Volker Blanz [4] [88] [96] [114] [143]
11Martin Bogdan [97]
12Karsten M. Borgwardt [109] [110] [115] [127] [133]
13Olivier Bousquet [59] [60] [62] [68] [85] [86] [89] [91] [102]
14Pia Breuer [143]
15Heinrich H. Bülthoff [4] [8] [10] [13] [18] [72] [82] [104]
16Christopher J. C. Burges (Chris Burges) [1] [2] [3] [4] [19] [21]
17Joaquin Quiñonero Candela [89]
18Athanassia Chalimourda [35] [67] [84]
19Olivier Chapelle [41] [51] [52] [59] [64] [69] [94] [107] [111] [118]
20Guillaume Charpiat [145]
21Yimin Cheng [45]
22Nello Cristianini [49]
23Dennis DeCoste [47]
24Rodney J. Douglas [33]
25Jan Eichhorn [61]
26Christian Erich Elger [71] [116]
27André Elisseeff [51] [56] [59]
28Eleazar Eskin [50] [55]
29Jason Farquhar [136]
30Matthias O. Franz [8] [10] [13] [18] [74] [75] [78] [79] [81] [87] [103] [108] [124]
31William T. Freeman [131]
32Thilo-Thomas Frieß [15]
33Holger Fröhlich [64] [69]
34QingDong Fu [45]
35Kenji Fukumizu [117] [119] [120] [137] [146]
36Philip Georg [10]
37Martin A. Giese [82]
38Joachim Giesen [73]
39Arnulf B. A. Graf [72] [104]
40Arthur Gretton [60] [79] [85] [102] [109] [110] [115] [117] [119] [123] [126] [127] [133] [137] [141] [146]
41Lie Gu [45]
42Jihun Ham [77]
43Paul Hayton [32]
44Matthias Hein [86] [132]
45Klaus Hepp [33]
46Ralf Herbrich [46] [85]
47Luis Herrera [90]
48N. Jeremy Hill [71] [76] [97] [116] [136]
49Thilo Hinterberger [71] [97] [116]
50Thomas Hoffman [128]
51Matthias Hofmann [145]
52Thomas Hofmann [70] [97]
53Patrik O. Hoyer [135]
54Jiayuan Huang [98] [109] [112]
55Dominik Janzing [120] [122] [130] [134] [135]
56Tobias Jung [90]
57Wolf Kienzle [75] [78] [99] [108] [124] [143]
58Kwang In Kim [87] [142] [143]
59Phil Knirsch [19] [21]
60Jens Kohlmorgen [7]
61Hans-Peter Kriegel [115]
62Malte Kuss [61]
63Younghee Kwon [81]
64Thomas Navin Lal [62] [71] [76] [97] [116]
65Gert R. G. Lanckriet [146]
66Neil D. Lawrence [43]
67Daniel D. Lee [77]
68Christian Lemmen [26]
69Thomas Lengauer [26] [30]
70Christina S. Leslie [50] [55]
71Stan Z. Li [45]
72Nikos Logothetis [61]
73Ulrike von Luxburg [68]
74Hanspeter A. Mallot [8] [10] [13] [18]
75Suzanna Martens [136]
76Frank McSherry [42]
77Jürgen Mellinger [97]
78Sebastian Mika [16] [21] [23] [24] [26] [28] [30] [31] [39] [48] [57] [77]
79Joris M. Mooij [135]
80Klaus-Robert Müller [7] [9] [11] [12] [16] [20] [21] [23] [24] [26] [30] [31] [48] [57]
81Duy Nguyen-Tuong [144]
82Hannes Nickisch [139]
83William Stafford Noble [50] [55]
84Takashi Onoda [23] [31]
85Fernando Pérez-Cruz [59]
86Pietro Perona [131]
87Jan Peters [125] [132] [144]
88Jonas Peters [135]
89John C. Platt [22] [38] [128]
90Rolf Pohmann [139]
91Hubert Preißl [97]
92Malte J. Rasch [110] [115] [127] [133]
93Carl Edward Rasmussen [61] [81] [82] [89]
94Gunnar Rätsch [7] [16] [21] [23] [24] [26] [30] [31] [48] [57] [92] [95] [106] [140]
95Sami Romdhani [44]
96Wolfgang Rosenstiel [71] [97]
97Lawrence K. Saul [83]
98Stefan Schaal [125]
99Christin Schäfer [106]
100Matthias Scholz [16]
101Gabriele Schweikert [140]
102Matthias Seeger [144]
103Matthias W. Seeger [139]
104John Shawe-Taylor [22] [25] [38]
105Hyunjung Shin (Hyunjung (Helen) Shin) [100]
106Patrice Y. Simard (Patrice Simard) [5]
107Eero P. Simoncelli [72]
108Fabian H. Sinz [89] [118]
109Alexander J. Smola (Alex J. Smola) [5] [6] [7] [9] [11] [12] [14] [15] [16] [17] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [31] [35] [36] [37] [38] [39] [40] [46] [53] [54] [57] [66] [67] [84] [85] [102] [109] [110] [115] [119] [123] [126] [127] [133] [141]
110Le Song [119] [123] [126] [141]
111Sören Sonnenburg [92] [95] [106]
112Simon Spalinger [73]
113Bharath K. Sriperumbudur [137] [146]
114Florian Steinke [88] [96] [114] [129] [132]
115Susanne Still [33]
116Xiaohai Sun [117] [120] [122] [130]
117Michael Tangermann (Michael Schröder) [71] [97] [116]
118Lionel Tarassenko [32]
119Choon Hui Teo [119]
120Sebastian Thrun [83]
121Michael E. Tipping [56]
122Andreas S. Tolias [61]
123Philip H. S. Torr [44]
124Koji Tsuda [100]
125Vladimir Vapnik [1] [3] [4] [5] [7] [51]
126Thomas Vetter [4]
127Christian Walder [94] [107] [111] [138] [142]
128Manfred K. Warmuth [65]
129Jason Weston [24] [50] [51] [52] [55] [56] [57] [59] [60] [61] [62] [63] [91]
130Felix A. Wichmann [72] [104] [108] [124]
131Guido Widman [71] [116]
132Christian Widmer [140]
133Robert C. Williamson [17] [22] [25] [27] [28] [29] [37] [38] [39] [40]
134Mingrui Wu [93] [105] [113] [121]
135Kai Yu [121]
136Shipeng Yu [121]
137Andreas Zell [18]
138HongJiang Zhang (Hong-Jiang Zhang) [45]
139Xinhua Zhang [141]
140Dengyong Zhou [60] [62] [70] [80] [98] [101] [112]
141Alexander Zien [26] [30] [61]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)