| 2011 |
|---|
| 192 | Robust Learning via Cause-Effect Models. Bernhard Schölkopf, Dominik Janzing, Jonas Peters, Kun Zhang. CoRR (abs/1112.2738) (2011). Web SearchBibTeXDownload |
| 191 | Uncovering the Temporal Dynamics of Diffusion Networks. Manuel Gomez-Rodriguez, David Balduzzi, Bernhard Schölkopf. CoRR (abs/1105.0697) (2011). Web SearchBibTeXDownload |
| 190 | Finding dependencies between frequencies with the kernel cross-spectral density. Michel Besserve, Dominik Janzing, Nikos K. Logothetis, Bernhard Schölkopf. ICASSP 2011, 2080-2083. Web SearchBibTeXDownload |
| 189 | Fast removal of non-uniform camera shake. Michael Hirsch, Christian J. Schuler, Stefan Harmeling, Bernhard Schölkopf. ICCV 2011, 463-470. Web SearchBibTeXDownload |
| 188 | Non-stationary correction of optical aberrations. Christian J. Schuler, Michael Hirsch, Stefan Harmeling, Bernhard Schölkopf. ICCV 2011, 659-666. Web SearchBibTeXDownload |
| 187 | Support Vector Machines as Probabilistic Models. Vojtech Franc, Alexander Zien, Bernhard Schölkopf. ICML 2011, 665-672. Web SearchBibTeX |
| 186 | Causal Inference on Discrete Data Using Additive Noise Models. Jonas Peters, Dominik Janzing, Bernhard Schölkopf. IEEE Trans. Pattern Anal. Mach. Intell. (33): 2436-2450 (2011). Web SearchBibTeXDownload |
| 185 | Learning anticipation policies for robot table tennis. Zhikun Wang, Christoph H. Lampert, Katharina Mülling, Bernhard Schölkopf, Jan Peters. IROS 2011, 332-337. Web SearchBibTeXDownload |
| 184 | Learning inverse kinematics with structured prediction. Botond Bocsi, Duy Nguyen-Tuong, Lehel Csató, Bernhard Schölkopf, Jan Peters. IROS 2011, 698-703. Web SearchBibTeXDownload |
| 183 | Two-locus association mapping in subquadratic time. Panagiotis Achlioptas, Bernhard Schölkopf, Karsten M. Borgwardt. KDD 2011, 726-734. Web SearchBibTeXDownload |
| 182 | Multi-way set enumeration in weight tensors. Elisabeth Georgii, Koji Tsuda, Bernhard Schölkopf. Machine Learning (82): 123-155 (2011). Web SearchBibTeXDownload |
| 181 | A Graphical Model Framework for Decoding in the Visual ERP-Based BCI Speller. Suzanna Martens, Joris M. Mooij, N. Jeremy Hill, Jason Farquhar, Bernhard Schölkopf. Neural Computation (23): 160-182 (2011). Web SearchBibTeXDownload |
| 180 | Identifiability of Causal Graphs using Functional Models. Jonas Peters, Joris M. Mooij, Dominik Janzing, Bernhard Schölkopf. UAI 2011, 589-598. Web SearchBibTeXDownload |
| 179 | Detecting low-complexity unobserved causes. Dominik Janzing, Eleni Sgouritsa, Oliver Stegle, Jonas Peters, Bernhard Schölkopf. UAI 2011, 383-391. Web SearchBibTeXDownload |
| 178 | Kernel-based Conditional Independence Test and Application in Causal Discovery. Kun Zhang, Jonas Peters, Dominik Janzing, Bernhard Schölkopf. UAI 2011, 804-813. Web SearchBibTeXDownload |
| 2010 |
|---|
| 177 | Causal Markov Condition for Submodular Information Measures. Bastian Steudel, Dominik Janzing, Bernhard Schölkopf. COLT 2010, 464-476. Web SearchBibTeXDownload |
| 176 | Causal Markov condition for submodular information measures. Bastian Steudel, Dominik Janzing, Bernhard Schölkopf. CoRR (abs/1002.4020) (2010). Web SearchBibTeXDownload |
| 175 | Efficient filter flow for space-variant multiframe blind deconvolution. Michael Hirsch, Suvrit Sra, Bernhard Schölkopf, Stefan Harmeling. CVPR 2010, 607-614. Web SearchBibTeXDownload |
| 174 | Multiframe blind deconvolution, super-resolution, and saturation correction via incremental EM. Stefan Harmeling, Suvrit Sra, Michael Hirsch, Bernhard Schölkopf. ICIP 2010, 3313-3316. Web SearchBibTeXDownload |
| 173 | Telling cause from effect based on high-dimensional observations. Dominik Janzing, Patrik O. Hoyer, Bernhard Schölkopf. ICML 2010, 479-486. Web SearchBibTeXDownload |
| 172 | Movement templates for learning of hitting and batting. Jens Kober, Katharina Mülling, Oliver Kroemer, Christoph H. Lampert, Bernhard Schölkopf, Jan Peters. ICRA 2010, 853-858. Web SearchBibTeXDownload |
| 171 | Causal inference using the algorithmic Markov condition. Dominik Janzing, Bernhard Schölkopf. IEEE Transactions on Information Theory (56): 5168-5194 (2010). Web SearchBibTeXDownload |
| 170 | The Influence of the Image Basis on Modeling and Steganalysis Performance. Valentin Schwamberger, Pham Hai Dang Le, Bernhard Schölkopf, Matthias O. Franz. Information Hiding 2010, 133-144. Web SearchBibTeXDownload |
| 169 | Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis. Michel Besserve, Bernhard Schölkopf, Nikos K. Logothetis, Stefano Panzeri. Journal of Computational Neuroscience (29): 547-566 (2010). Web SearchBibTeXDownload |
| 168 | Hilbert Space Embeddings and Metrics on Probability Measures. Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, Gert R. G. Lanckriet. Journal of Machine Learning Research (11): 1517-1561 (2010). Web SearchBibTeXDownload |
| 167 | Causality: Objectives and Assessment. Isabelle Guyon, Dominik Janzing, Bernhard Schölkopf. Journal of Machine Learning Research - Proceedings Track (6): 1-42 (2010). Web SearchBibTeXDownload |
| 166 | Identifying Cause and Effect on Discrete Data using Additive Noise Models. Jonas Peters, Dominik Janzing, Bernhard Schölkopf. Journal of Machine Learning Research - Proceedings Track (9): 597-604 (2010). Web SearchBibTeXDownload |
| 165 | Probabilistic latent variable models for distinguishing between cause and effect. Joris M. Mooij, Oliver Stegle, Dominik Janzing, Kun Zhang, Bernhard Schölkopf. NIPS 2010, 1687-1695. Web SearchBibTeXDownload |
| 164 | Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake. Stefan Harmeling, Michael Hirsch, Bernhard Schölkopf. NIPS 2010, 829-837. Web SearchBibTeXDownload |
| 163 | Switched Latent Force Models for Movement Segmentation. Mauricio A. Álvarez, Jan Peters, Bernhard Schölkopf, Neil D. Lawrence. NIPS 2010, 55-63. Web SearchBibTeXDownload |
| 162 | A New Algorithm for Improving the Resolution of Cryo-EM Density Maps. Michael Hirsch, Bernhard Schölkopf, Michael Habeck. RECOMB 2010, 174-188. Web SearchBibTeXDownload |
| 161 | Nonparametric Regression between General Riemannian Manifolds. Florian Steinke, Matthias Hein, Bernhard Schölkopf. SIAM J. Imaging Sciences (3): 527-563 (2010). Web SearchBibTeXDownload |
| 160 | Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery. Manuel Gomez-Rodriguez, Jan Peters, J. Hill, Bernhard Schölkopf, Alireza Gharabaghi, Moritz Grosse-Wentrup. SMC 2010, 121-126. Web SearchBibTeXDownload |
| 159 | Inferring deterministic causal relations. Povilas Daniusis, Dominik Janzing, Joris M. Mooij, Jakob Zscheischler, Bastian Steudel, Kun Zhang, Bernhard Schölkopf. UAI 2010, 143-150. Web SearchBibTeXDownload |
| 158 | Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery. Kun Zhang, Bernhard Schölkopf, Dominik Janzing. UAI 2010, 717-724. Web SearchBibTeXDownload |
| 2009 |
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| 157 | A note on integral probability metrics and $\\phi$-divergences. Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf. CoRR (abs/0901.2698) (2009). Web SearchBibTeXDownload |
| 156 | Learning similarity measure for multi-modal 3D image registration. Daewon Lee, Matthias Hofmann, Florian Steinke, Yasemin Altun, Nathan D. Cahill, Bernhard Schölkopf. CVPR 2009, 186-193. Web SearchBibTeXDownload |
| 155 | Markerless 3D Face Tracking. Christian Walder, Martin Breidt, Heinrich H. Bülthoff, Bernhard Schölkopf, Cristóbal Curio. DAGM-Symposium 2009, 41-50. Web SearchBibTeXDownload |
| 154 | Protein functional class prediction with a combined graph. Hyunjung Shin, Koji Tsuda, Bernhard Schölkopf. Expert Syst. Appl. (36): 3284-3292 (2009). Web SearchBibTeXDownload |
| 153 | Detecting the direction of causal time series. Jonas Peters, Dominik Janzing, Arthur Gretton, Bernhard Schölkopf. ICML 2009, 101. Web SearchBibTeXDownload |
| 152 | Regression by dependence minimization and its application to causal inference in additive noise models. Joris M. Mooij, Dominik Janzing, Jonas Peters, Bernhard Schölkopf. ICML 2009, 94. Web SearchBibTeXDownload |
| 151 | Sparse online model learning for robot control with support vector regression. Duy Nguyen-Tuong, Bernhard Schölkopf, Jan Peters. IROS 2009, 3121-3126. Web SearchBibTeXDownload |
| 150 | Multi-way set enumeration in real-valued tensors. Elisabeth Georgii, Koji Tsuda, Bernhard Schölkopf. KDD Workshop on Data Mining using Matrices and Tensors 2009. Web SearchBibTeXDownload |
| 149 | Generalized Clustering via Kernel Embeddings. Stefanie Jegelka, Arthur Gretton, Bernhard Schölkopf, Bharath K. Sriperumbudur, Ulrike von Luxburg. KI 2009, 144-152. Web SearchBibTeXDownload |
| 148 | Prototype Classification: Insights from Machine Learning. Arnulf B. A. Graf, Olivier Bousquet, Gunnar Rätsch, Bernhard Schölkopf. Neural Computation (21): 272-300 (2009). Web SearchBibTeXDownload |
| 147 | Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions. Bharath K. Sriperumbudur, Kenji Fukumizu, Arthur Gretton, Gert R. G. Lanckriet, Bernhard Schölkopf. NIPS 2009, 1750-1758. Web SearchBibTeXDownload |
| 146 | Identifying confounders using additive noise models. Dominik Janzing, Jonas Peters, Joris M. Mooij, Bernhard Schölkopf. UAI 2009, 249-257. Web SearchBibTeXDownload |
| 2008 |
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| 145 | Injective Hilbert Space Embeddings of Probability Measures. Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Gert R. G. Lanckriet, Bernhard Schölkopf. COLT 2008, 111-122. Web SearchBibTeXDownload |
| 144 | Manifold-valued Thin-Plate Splines with Applications in Computer Graphics. Florian Steinke, Matthias Hein, Jan Peters, Bernhard Schölkopf. Comput. Graph. Forum (27): 437-448 (2008). Web SearchBibTeXDownload |
| 143 | Causal inference using the algorithmic Markov condition. Dominik Janzing, Bernhard Schölkopf. CoRR (abs/0804.3678) (2008). Web SearchBibTeXDownload |
| 142 | A Kernel Method for the Two-Sample Problem. Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola. CoRR (abs/0805.2368) (2008). Web SearchBibTeXDownload |
| 141 | Automatic Image Colorization Via Multimodal Predictions. Guillaume Charpiat, Matthias Hofmann, Bernhard Schölkopf. ECCV (3) 2008, 126-139. Web SearchBibTeXDownload |
| 140 | Learning Inverse Dynamics: a Comparison. Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Bernhard Schölkopf. ESANN 2008, 13-18. Web SearchBibTeXDownload |
| 139 | Automatic 3D face reconstruction from single images or video. Pia Breuer, Kwang In Kim, Wolf Kienzle, Bernhard Schölkopf, Volker Blanz. FG 2008, 1-8. Web SearchBibTeXDownload |
| 138 | Sparse multiscale gaussian process regression. Christian Walder, Kwang In Kim, Bernhard Schölkopf. ICML 2008, 1112-1119. Web SearchBibTeXDownload |
| 137 | Tailoring density estimation via reproducing kernel moment matching. Le Song, Xinhua Zhang, Alex J. Smola, Arthur Gretton, Bernhard Schölkopf. ICML 2008, 992-999. Web SearchBibTeXDownload |
| 136 | Guest Editorial. Darrell Conklin, Tadeusz A. Wysocki, Hamid Sharif, L. C. Gundersen, P. P. Leahy, W. Hill, Jyh-Horng Wen, Shiuh-Jeng Wang, Yuh-Ren Tsai, Keh-Ming Lu. International Journal of Computer Vision (77): 1 (2008). Cited by 2Web SearchBibTeXDownload |
| 135 | Causal reasoning by evaluating the complexity of conditional densities with kernel methods. Xiaohai Sun, Dominik Janzing, Bernhard Schölkopf. Neurocomputing (71): 1248-1256 (2008). Web SearchBibTeXDownload |
| 134 | Bayesian Experimental Design of Magnetic Resonance Imaging Sequences. Matthias W. Seeger, Hannes Nickisch, Rolf Pohmann, Bernhard Schölkopf. NIPS 2008, 1441-1448. Web SearchBibTeXDownload |
| 133 | Characteristic Kernels on Groups and Semigroups. Kenji Fukumizu, Bharath K. Sriperumbudur, Arthur Gretton, Bernhard Schölkopf. NIPS 2008, 473-480. Web SearchBibTeXDownload |
| 132 | Nonlinear causal discovery with additive noise models. Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, Jonas Peters, Bernhard Schölkopf. NIPS 2008, 689-696. Web SearchBibTeXDownload |
| 131 | Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance. N. Jeremy Hill, Jason Farquhar, Suzanna Martens, Felix Bießmann, Bernhard Schölkopf. NIPS 2008, 665-672. Web SearchBibTeXDownload |
| 130 | Diffeomorphic Dimensionality Reduction. Christian Walder, Bernhard Schölkopf. NIPS 2008, 1713-1720. Web SearchBibTeXDownload |
| 129 | An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis. Gabriele Schweikert, Christian Widmer, Bernhard Schölkopf, Gunnar Rätsch. NIPS 2008, 1433-1440. Web SearchBibTeXDownload |
| 128 | Kernels, regularization and differential equations. Florian Steinke, Bernhard Schölkopf. Pattern Recognition (41): 3271-3286 (2008). Web SearchBibTeXDownload |
| 2007 |
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| 127 | A Kernel Approach to Comparing Distributions. Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola. AAAI 2007, 1637-1641. Web SearchBibTeX |
| 126 | A Hilbert Space Embedding for Distributions. Alexander J. Smola, Arthur Gretton, Le Song, Bernhard Schölkopf. ALT 2007, 13-31. Web SearchBibTeXDownload |
| 125 | Towards Machine Learning of Motor Skills. Jan Peters, Stefan Schaal, Bernhard Schölkopf. AMS 2007, 138-144. Web SearchBibTeXDownload |
| 124 | How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements. Wolf Kienzle, Bernhard Schölkopf, Felix A. Wichmann, Matthias O. Franz. DAGM-Symposium 2007, 405-414. Web SearchBibTeXDownload |
| 123 | Distinguishing between cause and effect via kernel-based complexity measures for conditional distributions. Xiaohai Sun, Dominik Janzing, Bernhard Schölkopf. ESANN 2007, 441-446. Web SearchBibTeXDownload |
| 122 | A kernel-based causal learning algorithm. Xiaohai Sun, Dominik Janzing, Bernhard Schölkopf, Kenji Fukumizu. ICML 2007, 855-862. Web SearchBibTeXDownload |
| 121 | Local learning projections. Mingrui Wu, Kai Yu, Shipeng Yu, Bernhard Schölkopf. ICML 2007, 1039-1046. Web SearchBibTeXDownload |
| 120 | The Need for Open Source Software in Machine Learning. Sören Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Léon Bottou, Geoffrey Holmes, Yann LeCun, Klaus-Robert Müller, Fernando Pereira, Carl Edward Rasmussen, Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Pascal Vincent, Jason Weston, Robert C. Williamson. Journal of Machine Learning Research (8): 2443-2466 (2007). Web SearchBibTeXDownload |
| 119 | Transductive Classification via Local Learning Regularization. Mingrui Wu, Bernhard Schölkopf. Journal of Machine Learning Research - Proceedings Track (2): 628-635 (2007). Web SearchBibTeXDownload |
| 118 | Kernel Measures of Conditional Dependence. Kenji Fukumizu, Arthur Gretton, Xiaohai Sun, Bernhard Schölkopf. NIPS 2007. Web SearchBibTeXDownload |
| 117 | An Analysis of Inference with the Universum. Fabian H. Sinz, Olivier Chapelle, Alekh Agarwal, Bernhard Schölkopf. NIPS 2007. Web SearchBibTeXDownload |
| 116 | A Kernel Statistical Test of Independence. Arthur Gretton, Kenji Fukumizu, Choon Hui Teo, Le Song, Bernhard Schölkopf, Alex J. Smola. NIPS 2007. Web SearchBibTeXDownload |
| 2006 |
|---|
| 115 | Implicit Surface Modelling with a Globally Regularised Basis of Compact Support. Christian Walder, Bernhard Schölkopf, Olivier Chapelle. Comput. Graph. Forum (25): 635-644 (2006). Web SearchBibTeXDownload |
| 114 | Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals. N. Jeremy Hill, Thomas Navin Lal, Michael Schröder, Thilo Hinterberger, Guido Widman, Christian Erich Elger, Bernhard Schölkopf, Niels Birbaumer. DAGM-Symposium 2006, 404-413. Web SearchBibTeXDownload |
| 113 | Integrating structured biological data by Kernel Maximum Mean Discrepancy. Karsten M. Borgwardt, Arthur Gretton, Malte J. Rasch, Hans-Peter Kriegel, Bernhard Schölkopf, Alexander J. Smola. ISMB (Supplement of Bioinformatics) 2006, 49-57. Cited by 41Web SearchBibTeXDownload |
| 112 | A Direct Method for Building Sparse Kernel Learning Algorithms. Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir. Journal of Machine Learning Research (7): 603-624 (2006). Web SearchBibTeXDownload |
| 111 | Large Scale Multiple Kernel Learning. Sören Sonnenburg, Gunnar Rätsch, Christin Schäfer, Bernhard Schölkopf. Journal of Machine Learning Research (7): 1531-1565 (2006). Web SearchBibTeXDownload |
| 110 | A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression. Matthias O. Franz, Bernhard Schölkopf. Neural Computation (18): 3097-3118 (2006). Web SearchBibTeXDownload |
| 109 | Classification of Faces in Man and Machine. Arnulf B. A. Graf, Felix A. Wichmann, Heinrich H. Bülthoff, Bernhard Schölkopf. Neural Computation (18): 143-165 (2006). Web SearchBibTeXDownload |
| 108 | A Local Learning Approach for Clustering. Mingrui Wu, Bernhard Schölkopf. NIPS 2006, 1529-1536. Web SearchBibTeXDownload |
| 107 | Learning Dense 3D Correspondence. Florian Steinke, Bernhard Schölkopf, Volker Blanz. NIPS 2006, 1313-1320. Web SearchBibTeXDownload |
| 106 | Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions. Christian Walder, Bernhard Schölkopf, Olivier Chapelle. NIPS 2006, 273-280. Web SearchBibTeXDownload |
| 105 | A Kernel Method for the Two-Sample-Problem. Arthur Gretton, Karsten M. Borgwardt, Malte J. Rasch, Bernhard Schölkopf, Alexander J. Smola. NIPS 2006, 513-520. Web SearchBibTeXDownload |
| 104 | A Nonparametric Approach to Bottom-Up Visual Saliency. Wolf Kienzle, Felix A. Wichmann, Bernhard Schölkopf, Matthias O. Franz. NIPS 2006, 689-696. Web SearchBibTeXDownload |
| 103 | Learning with Hypergraphs: Clustering, Classification, and Embedding. Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf. NIPS 2006, 1601-1608. Web SearchBibTeXDownload |
| 102 | Correcting Sample Selection Bias by Unlabeled Data. Jiayuan Huang, Alexander J. Smola, Arthur Gretton, Karsten M. Borgwardt, Bernhard Schölkopf. NIPS 2006, 601-608. Web SearchBibTeXDownload |
| 2005 |
|---|
| 101 | Measuring Statistical Dependence with Hilbert-Schmidt Norms. Arthur Gretton, Olivier Bousquet, Alex J. Smola, Bernhard Schölkopf. ALT 2005, 63-77. Web SearchBibTeXDownload |
| 100 | Support Vector Machines for 3D Shape Processing. Florian Steinke, Bernhard Schölkopf, Volker Blanz. Comput. Graph. Forum (24): 285-294 (2005). Web SearchBibTeXDownload |
| 99 | Regularization on Discrete Spaces. Dengyong Zhou, Bernhard Schölkopf. DAGM-Symposium 2005, 361-368. Web SearchBibTeXDownload |
| 98 | Fast protein classification with multiple networks. Koji Tsuda, Hyunjung Shin, Bernhard Schölkopf. ECCB/JBI 2005, 65. Web SearchBibTeXDownload |
| 97 | Training Support Vector Machines with Multiple Equality Constraints. Wolf Kienzle, Bernhard Schölkopf. ECML 2005, 182-193. Web SearchBibTeXDownload |
| 96 | Robust EEG Channel Selection across Subjects for Brain-Computer Interfaces. Michael Schröder, Thomas Navin Lal, Thilo Hinterberger, Martin Bogdan, N. Jeremy Hill, Niels Birbaumer, Wolfgang Rosenstiel, Bernhard Schölkopf. EURASIP J. Adv. Sig. Proc. (2005): 3103-3112 (2005). Web SearchBibTeXDownload |
| 95 | A brain computer interface with online feedback based on magnetoencephalography. Thomas Navin Lal, Michael Schröder, N. Jeremy Hill, Hubert Preißl, Thilo Hinterberger, Jürgen Mellinger, Martin Bogdan, Wolfgang Rosenstiel, Thomas Hofmann, Niels Birbaumer, Bernhard Schölkopf. ICML 2005, 465-472. Web SearchBibTeXDownload |
| 94 | Large scale genomic sequence SVM classifiers. Sören Sonnenburg, Gunnar Rätsch, Bernhard Schölkopf. ICML 2005, 848-855. Web SearchBibTeXDownload |
| 93 | Object correspondence as a machine learning problem. Bernhard Schölkopf, Florian Steinke, Volker Blanz. ICML 2005, 776-783. Web SearchBibTeXDownload |
| 92 | Building Sparse Large Margin Classifiers. Mingrui Wu, Bernhard Schölkopf, Gökhan H. Bakir. ICML 2005, 996-1003. Web SearchBibTeXDownload |
| 91 | Implicit surface modelling as an eigenvalue problem. Christian Walder, Olivier Chapelle, Bernhard Schölkopf. ICML 2005, 936-939. Web SearchBibTeXDownload |
| 90 | Learning from labeled and unlabeled data on a directed graph. Dengyong Zhou, Jiayuan Huang, Bernhard Schölkopf. ICML 2005, 1036-1043. Web SearchBibTeXDownload |
| 89 | Iterative Kernel Principal Component Analysis for Image Modeling. Kwang In Kim, Matthias O. Franz, Bernhard Schölkopf. IEEE Trans. Pattern Anal. Mach. Intell. (27): 1351-1366 (2005). Web SearchBibTeXDownload |
| 88 | RASE: recognition of alternatively spliced exons in C.elegans. Gunnar Rätsch, Sören Sonnenburg, Bernhard Schölkopf. ISMB (Supplement of Bioinformatics) 2005, 369-377. Web SearchBibTeXDownload |
| 87 | Joint Kernel Maps. Jason Weston, Bernhard Schölkopf, Olivier Bousquet. IWANN 2005, 176-191. Web SearchBibTeXDownload |
| 86 | Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach. Tobias Jung, Luis Herrera, Bernhard Schölkopf. IWANN 2005, 960-967. Web SearchBibTeXDownload |
| 85 | Maximal margin classification for metric spaces. Matthias Hein, Olivier Bousquet, Bernhard Schölkopf. J. Comput. Syst. Sci. (71): 333-359 (2005). Web SearchBibTeXDownload |
| 84 | Kernel Methods for Measuring Independence. Arthur Gretton, Ralf Herbrich, Alexander J. Smola, Olivier Bousquet, Bernhard Schölkopf. Journal of Machine Learning Research (6): 2075-2129 (2005). Web SearchBibTeXDownload |
| 83 | Evaluating Predictive Uncertainty Challenge. Joaquin Quiñonero Candela, Carl Edward Rasmussen, Fabian H. Sinz, Olivier Bousquet, Bernhard Schölkopf. MLCW 2005, 1-27. Web SearchBibTeXDownload |
| 82 | Experimentally optimal nu in support vector regression for different noise models and parameter settings. Athanassia Chalimourda, Bernhard Schölkopf, Alex J. Smola. Neural Networks (18): 205 (2005). Web SearchBibTeXDownload |
| 2004 |
|---|
| 81 | Efficient Approximations for Support Vector Machines in Object Detection. Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf. DAGM-Symposium 2004, 54-61. Web SearchBibTeXDownload |
| 80 | Semi-supervised Kernel Regression Using Whitened Function Classes. Matthias O. Franz, Younghee Kwon, Carl Edward Rasmussen, Bernhard Schölkopf. DAGM-Symposium 2004, 18-26. Web SearchBibTeXDownload |
| 79 | Learning from Labeled and Unlabeled Data Using Random Walks. Dengyong Zhou, Bernhard Schölkopf. DAGM-Symposium 2004, 237-244. Web SearchBibTeXDownload |
| 78 | Multivariate Regression via Stiefel Manifold Constraints. Gökhan H. Bakir, Arthur Gretton, Matthias O. Franz, Bernhard Schölkopf. DAGM-Symposium 2004, 262-269. Web SearchBibTeXDownload |
| 77 | A kernel view of the dimensionality reduction of manifolds. Jihun Ham, Daniel D. Lee, Sebastian Mika, Bernhard Schölkopf. ICML 2004. Web SearchBibTeXDownload |
| 76 | Feature Selection for Support Vector Machines Using Genetic Algorithms. Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf. International Journal on Artificial Intelligence Tools (13): 791-800 (2004). Web SearchBibTeXDownload |
| 75 | A Compression Approach to Support Vector Model Selection. Ulrike von Luxburg, Olivier Bousquet, Bernhard Schölkopf. Journal of Machine Learning Research (5): 293-323 (2004). Web SearchBibTeXDownload |
| 74 | Experimentally optimal v in support vector regression for different noise models and parameter settings. Athanassia Chalimourda, Bernhard Schölkopf, Alex J. Smola. Neural Networks (17): 127-141 (2004). Web SearchBibTeXDownload |
| 73 | Face Detection - Efficient and Rank Deficient. Wolf Kienzle, Gökhan H. Bakir, Matthias O. Franz, Bernhard Schölkopf. NIPS 2004. Web SearchBibTeXDownload |
| 72 | Methods Towards Invasive Human Brain Computer Interfaces. Thomas Navin Lal, Thilo Hinterberger, Guido Widman, Michael Schröder, N. Jeremy Hill, Wolfgang Rosenstiel, Christian Erich Elger, Bernhard Schölkopf, Niels Birbaumer. NIPS 2004. Web SearchBibTeXDownload |
| 71 | Kernel Methods for Implicit Surface Modeling. Bernhard Schölkopf, Joachim Giesen, Simon Spalinger. NIPS 2004. Web SearchBibTeXDownload |
| 70 | An Auditory Paradigm for Brain-Computer Interfaces. N. Jeremy Hill, Thomas Navin Lal, Karin Bierig, Niels Birbaumer, Bernhard Schölkopf. NIPS 2004. Web SearchBibTeXDownload |
| 69 | Implicit Wiener Series for Higher-Order Image Analysis. Matthias O. Franz, Bernhard Schölkopf. NIPS 2004. Web SearchBibTeXDownload |
| 68 | Semi-supervised Learning on Directed Graphs. Dengyong Zhou, Bernhard Schölkopf, Thomas Hofmann. NIPS 2004. Web SearchBibTeXDownload |
| 67 | Machine Learning Applied to Perception: Decision Images for Gender Classification. Felix A. Wichmann, Arnulf B. A. Graf, Eero P. Simoncelli, Heinrich H. Bülthoff, Bernhard Schölkopf. NIPS 2004. Web SearchBibTeXDownload |
| 66 | A tutorial on support vector regression. Alexander J. Smola, Bernhard Schölkopf. Statistics and Computing (14): 199-222 (2004). Web SearchBibTeXDownload |
| 2003 |
|---|
| 65 | Feature selection and transduction for prediction of molecular bioactivity for drug design. Jason Weston, Fernando Pérez-Cruz, Olivier Bousquet, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf. Bioinformatics (19): 764-771 (2003). Web SearchBibTeXDownload |
| 64 | Statistical learning theory, capacity, and complexity. Bernhard Schölkopf. Complexity (8): 87-94 (2003). Web SearchBibTeXDownload |
| 63 | Feature Selection for Support Vector Machines by Means of Genetic Algorithms. Holger Fröhlich, Olivier Chapelle, Bernhard Schölkopf. ICTAI 2003, 142-148. Web SearchBibTeXDownload |
| 62 | Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces. Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller. IEEE Trans. Pattern Anal. Mach. Intell. (25): 623-633 (2003). Web SearchBibTeXDownload |
| 61 | Use of the Zero-Norm with Linear Models and Kernel Methods. Jason Weston, André Elisseeff, Bernhard Schölkopf, Michael E. Tipping. Journal of Machine Learning Research (3): 1439-1461 (2003). Web SearchBibTeXDownload |
| 60 | Learning with Local and Global Consistency. Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal, Jason Weston, Bernhard Schölkopf. NIPS 2003. Web SearchBibTeXDownload |
| 59 | Prediction on Spike Data Using Kernel Algorithms. Jan Eichhorn, Andreas S. Tolias, Alexander Zien, Malte Kuss, Carl Edward Rasmussen, Jason Weston, Nikos Logothetis, Bernhard Schölkopf. NIPS 2003. Web SearchBibTeXDownload |
| 58 | Ranking on Data Manifolds. Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet, Bernhard Schölkopf. NIPS 2003. Web SearchBibTeXDownload |
| 57 | Learning to Find Pre-Images. Gökhan H. Bakir, Jason Weston, Bernhard Schölkopf. NIPS 2003. Web SearchBibTeXDownload |
| 2002 |
|---|
| 56 | Support Vector Machines and Kernel Methods: The New Generation of Learning Machines. Nello Cristianini, Bernhard Schölkopf. AI Magazine (23): 31-42 (2002). Web SearchBibTeXDownload |
| 55 | A Kernel Approach for Learning from almost Orthogonal Patterns. Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble. ECML 2002, 511-528. Web SearchBibTeXDownload |
| 54 | Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification. Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Klaus-Robert Müller. IEEE Trans. Pattern Anal. Mach. Intell. (24): 1184-1199 (2002). Web SearchBibTeXDownload |
| 53 | Training Invariant Support Vector Machines. Dennis DeCoste, Bernhard Schölkopf. Machine Learning (46): 161-190 (2002). Web SearchBibTeXDownload |
| 52 | A Short Introduction to Learning with Kernels. Bernhard Schölkopf, Alex J. Smola. Machine Learning Summer School 2002, 41-64. Web SearchBibTeXDownload |
| 51 | Bayesian Kernel Methods. Alex J. Smola, Bernhard Schölkopf. Machine Learning Summer School 2002, 65-117. Web SearchBibTeXDownload |
| 50 | Kernel Dependency Estimation. Jason Weston, Olivier Chapelle, André Elisseeff, Bernhard Schölkopf, Vladimir Vapnik. NIPS 2002, 873-880. Web SearchBibTeXDownload |
| 49 | Cluster Kernels for Semi-Supervised Learning. Olivier Chapelle, Jason Weston, Bernhard Schölkopf. NIPS 2002, 585-592. Web SearchBibTeXDownload |
| 48 | A Kernel Approach for Learning from Almost Orthogonal Patterns. Bernhard Schölkopf, Jason Weston, Eleazar Eskin, Christina S. Leslie, William Stafford Noble. PKDD 2002, 494-511. Web SearchBibTeXDownload |
| 2001 |
|---|
| 47 | A Generalized Representer Theorem. Bernhard Schölkopf, Ralf Herbrich, Alex J. Smola. COLT/EuroCOLT 2001, 416-426. Web SearchBibTeXDownload |
| 46 | Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation. Stan Z. Li, QingDong Fu, Lie Gu, Bernhard Schölkopf, Yimin Cheng, HongJiang Zhang. ICCV 2001, 674-679. Web SearchBibTeX |
| 45 | Computationally Efficient Face Detection. Sami Romdhani, Philip H. S. Torr, Bernhard Schölkopf, Andrew Blake. ICCV 2001, 695-700. Web SearchBibTeX |
| 44 | Estimating a Kernel Fisher Discriminant in the Presence of Label Noise. Neil D. Lawrence, Bernhard Schölkopf. ICML 2001, 306-313. Web SearchBibTeX |
| 43 | Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators. Robert C. Williamson, Alex J. Smola, Bernhard Schölkopf. IEEE Transactions on Information Theory (47): 2516-2532 (2001). Web SearchBibTeXDownload |
| 42 | Regularized Principal Manifolds. Alex J. Smola, Robert C. Williamson, Bernhard Schölkopf, Robert C. Williamson. Journal of Machine Learning Research (1): 179-209 (2001). Web SearchBibTeXDownload |
| 41 | Estimating the Support of a High-Dimensional Distribution. Bernhard Schölkopf, John C. Platt, John Shawe-Taylor, Alex J. Smola, Robert C. Williamson. Neural Computation (13): 1443-1471 (2001). Web SearchBibTeXDownload |
| 40 | Sampling Techniques for Kernel Methods. Dimitris Achlioptas, Frank McSherry, Bernhard Schölkopf. NIPS 2001, 335-342. Web SearchBibTeXDownload |
| 39 | Incorporating Invariances in Non-Linear Support Vector Machines. Olivier Chapelle, Bernhard Schölkopf. NIPS 2001, 609-616. Web SearchBibTeXDownload |
| 2000 |
|---|
| 38 | Engineering support vector machine kernels that recognize translation initiation sites. Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Thomas Lengauer, Klaus-Robert Müller. Bioinformatics (16): 799-807 (2000). Web SearchBibTeXDownload |
| 37 | Entropy Numbers of Linear Function Classes. Robert C. Williamson, Alex J. Smola, Bernhard Schölkopf. COLT 2000, 309-319. Web SearchBibTeX |
| 36 | Sparse Greedy Matrix Approximation for Machine Learning. Alex J. Smola, Bernhard Schölkopf. ICML 2000, 911-918. Web SearchBibTeX |
| 35 | Choosing in Support Vector Regression with Different Noise Models: Theory and Experiments. Athanassia Chalimourda, Bernhard Schölkopf, Alex J. Smola. IJCNN (5) 2000, 199-204. Web SearchBibTeXDownload |
| 34 | New Support Vector Algorithms. Bernhard Schölkopf, Alex J. Smola, Robert C. Williamson, Peter L. Bartlett. Neural Computation (12): 1207-1245 (2000). Web SearchBibTeXDownload |
| 33 | The Kernel Trick for Distances. Bernhard Schölkopf. NIPS 2000, 301-307. Web SearchBibTeX |
| 32 | Four-legged Walking Gait Control Using a Neuromorphic Chip Interfaced to a Support Vector Learning Algorithm. Susanne Still, Bernhard Schölkopf, Klaus Hepp, Rodney J. Douglas. NIPS 2000, 741-747. Web SearchBibTeX |
| 31 | Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra. Paul Hayton, Bernhard Schölkopf, Lionel Tarassenko, Paul Anuzis. NIPS 2000, 946-952. Web SearchBibTeX |
| 30 | Robust Ensemble Learning for Data Mining. Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller. PAKDD 2000, 341-344. Web SearchBibTeXDownload |
| 1999 |
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| 29 | Regularized Principal Manifolds. Alex J. Smola, Robert C. Williamson, Bernhard Schölkopf, Robert C. Williamson. EuroCOLT 1999, 214-229. Web SearchBibTeXDownload |
| 28 | Entropy Numbers, Operators and Support Vector Kernels. Robert C. Williamson, Alex J. Smola, Bernhard Schölkopf. EuroCOLT 1999, 285-299. Web SearchBibTeXDownload |
| 27 | Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites. Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Christian Lemmen, Alex J. Smola, Thomas Lengauer, Klaus-Robert Müller. German Conference on Bioinformatics 1999, 37-43. Web SearchBibTeX |
| 26 | Input space versus feature space in kernel-based methods. Bernhard Schölkopf, Sebastian Mika, Christopher J. C. Burges, Phil Knirsch, Klaus-Robert Müller, Gunnar Rätsch, Alexander J. Smola. IEEE Transactions on Neural Networks (10): 1000-1017 (1999). Web SearchBibTeXDownload |
| 25 | Lernen mit Kernen: Support-Vektor-Methoden zur Analyse hochdimensionaler Daten. Bernhard Schölkopf, Klaus-Robert Müller, Alex J. Smola. Inform., Forsch. Entwickl. (14): 154-163 (1999). Web SearchBibTeXDownload |
| 24 | Invariant Feature Extraction and Classification in Kernel Spaces. Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller. NIPS 1999, 526-532. Web SearchBibTeXDownload |
| 23 | Support Vector Method for Novelty Detection. Bernhard Schölkopf, Robert C. Williamson, Alex J. Smola, John Shawe-Taylor, John C. Platt. NIPS 1999, 582-588. Web SearchBibTeXDownload |
| 22 | The Entropy Regularization Information Criterion. Alex J. Smola, John Shawe-Taylor, Bernhard Schölkopf, Robert C. Williamson. NIPS 1999, 342-348. Web SearchBibTeXDownload |
| 21 | v-Arc: Ensemble Learning in the Presence of Outliers. Gunnar Rätsch, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika. NIPS 1999, 561-567. Web SearchBibTeXDownload |
| 1998 |
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| 20 | On a Kernel-Based Method for Pattern Recognition, Regression, Approximation, and Operator Inversion. Alex J. Smola, Bernhard Schölkopf. Algorithmica (22): 211-231 (1998). Web SearchBibTeXDownload |
| 19 | Learning View Graphs for Robot Navigation. Matthias O. Franz, Bernhard Schölkopf, Philip Georg, Heinrich H. Bülthoff, Heinrich H. Bülthoff. Auton. Robots (5): 111-125 (1998). Web SearchBibTeXDownload |
| 18 | Where did I take that snapshot? Scene-based homing by image matching. Matthias O. Franz, Bernhard Schölkopf, Hanspeter A. Mallot, Heinrich H. Bülthoff. Biological Cybernetics (79): 191-202 (1998). Web SearchBibTeXDownload |
| 17 | Navigation mit Schnappschüssen. Matthias O. Franz, Bernhard Schölkopf, Hanspeter A. Mallot, Heinrich H. Bülthoff, Andreas Zell. DAGM-Symposium 1998, 421-428. Web SearchBibTeX |
| 16 | Fast Approximation of Support Vector Kernel Expansions, and an Interpretation of Clustering as Approximation in Feature Spaces. Bernhard Schölkopf, Alex J. Smola, Phil Knirsch, Chris Burges. DAGM-Symposium 1998, 125-132. Web SearchBibTeX |
| 15 | Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller. Neural Computation (10): 1299-1319 (1998). Web SearchBibTeXDownload |
| 14 | The connection between regularization operators and support vector kernels. Alex J. Smola, Bernhard Schölkopf, Klaus-Robert Müller. Neural Networks (11): 637-649 (1998). Web SearchBibTeXDownload |
| 13 | Semiparametric Support Vector and Linear Programming Machines. Alex J. Smola, Thilo-Thomas Frieß, Bernhard Schölkopf. NIPS 1998, 585-591. Web SearchBibTeXDownload |
| 12 | Shrinking the Tube: A New Support Vector Regression Algorithm. Bernhard Schölkopf, Peter L. Bartlett, Alex J. Smola, Robert C. Williamson. NIPS 1998, 330-336. Web SearchBibTeXDownload |
| 11 | Kernel PCA and De-Noising in Feature Spaces. Sebastian Mika, Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch. NIPS 1998, 536-542. Web SearchBibTeXDownload |
| 1997 |
|---|
| 10 | Learning View Graphs for Robot Navigation. Matthias O. Franz, Bernhard Schölkopf, Philip Georg, Heinrich H. Bülthoff, Heinrich H. Bülthoff. Agents 1997, 138-147. Web SearchBibTeX |
| 9 | The View-Graph Approach to Visual Navigation and Spatial Memory. Hanspeter A. Mallot, Matthias O. Franz, Bernhard Schölkopf, Heinrich H. Bülthoff. ICANN 1997, 751-756. Web SearchBibTeXDownload |
| 8 | Kernel Principal Component Analysis. Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller. ICANN 1997, 583-588. Web SearchBibTeXDownload |
| 7 | Predicting Time Series with Support Vector Machines. Klaus-Robert Müller, Alex J. Smola, Gunnar Rätsch, Bernhard Schölkopf, Jens Kohlmorgen, Vladimir Vapnik. ICANN 1997, 999-1004. Web SearchBibTeXDownload |
| 6 | Prior Knowledge in Support Vector Kernels. Bernhard Schölkopf, Patrice Simard, Alex J. Smola, Vladimir Vapnik. NIPS 1997. Web SearchBibTeX |
| 5 | From Regularization Operators to Support Vector Kernels. Alex J. Smola, Bernhard Schölkopf. NIPS 1997. Web SearchBibTeX |
| 1996 |
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| 4 | Incorporating Invariances in Support Vector Learning Machines. Bernhard Schölkopf, Chris Burges, Vladimir Vapnik. ICANN 1996, 47-52. Web SearchBibTeXDownload |
| 3 | Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models. Volker Blanz, Bernhard Schölkopf, Heinrich H. Bülthoff, Chris Burges, Vladimir Vapnik, Thomas Vetter. ICANN 1996, 251-256. Web SearchBibTeXDownload |
| 2 | Improving the Accuracy and Speed of Support Vector Machines. Christopher J. C. Burges, Bernhard Schölkopf. NIPS 1996, 375-381. Web SearchBibTeXDownload |
| 1995 |
|---|
| 1 | Extracting Support Data for a Given Task. Bernhard Schölkopf, Chris Burges, Vladimir Vapnik. KDD 1995, 252-257. Web SearchBibTeX |
