Publications

Empirical Inference Conference Paper Learning High-Order MRF Priors of Color Images McAuley, J., Caetano, T., Smola, A., Franz, M. In Proceedings of the 23rd International Conference on Machine Learning (ICML 2006), ICML 2006, :617-624, (Editors: Cohen, W. W., A. Moore), ACM Press, New York, NY, USA, 23rd International Conference on Machine Learning, June 2006 () PDF Web DOI BibTeX

Empirical Inference Talk MCMC inference in (Conditionally) Conjugate Dirichlet Process Gaussian Mixture Models Rasmussen, C., Görür, D. ICML Workshop on Learning with Nonparametric Bayesian Methods, June 2006 () Web BibTeX

Empirical Inference Conference Paper Personalized handwriting recognition via biased regularization Kienzle, W., Chellapilla, K. In Proceedings of the 23rd International Conference on Machine Learning (ICML 2006), ICML 2006, :457-464, (Editors: Cohen, W. W., A. Moore), ACM Press, New York, NY, USA, 23rd International Conference on Machine Learning, June 2006 () PDF Web DOI BibTeX

Empirical Inference Talk Sampling for non-conjugate infinite latent feature models Görür, D., Rasmussen, C. (Editors: Bernardo, J. M.), 8th Valencia International Meeting on Bayesian Statistics (ISBA 2006), June 2006 () PDF BibTeX

Empirical Inference Poster The pedestal effect is caused by off-frequency looking, not nonlinear transduction or contrast gain-control Wichmann, F., Henning, B. Journal of Vision, 6(6):194, 6th Annual Meeting of the Vision Sciences Society (VSS 2006), June 2006 () Web DOI BibTeX

Empirical Inference Conference Paper Trading Convexity for Scalability Collobert, R., Sinz, F., Weston, J., Bottou, L. In Proceedings of the 23rd International Conference on Machine Learning (ICML 2006), ICML 2006, :201-208, (Editors: Cohen, W. W., A. Moore), ACM Press, New York, NY, USA, 23rd International Conference on Machine Learning, June 2006 () PDF Web DOI BibTeX

Empirical Inference Proceedings Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference Weiss, Y., Schölkopf, B., Platt, J. Proceedings of the 19th Annual Conference on Neural Information Processing Systems (NIPS 2005), :1676, MIT Press, Cambridge, MA, USA, 19th Annual Conference on Neural Information Processing Systems (NIPS 2005), May 2006 () Web BibTeX

Empirical Inference Conference Paper Assessing Approximations for Gaussian Process Classification Kuss, M., Rasmussen, C. In Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference, Advances in neural information processing systems 18, :699-706, (Editors: Weiss, Y. , B. Schölkopf, J. Platt), MIT Press, Cambridge, MA, USA, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), May 2006 () PDF Web BibTeX

Empirical Inference Conference Paper Products of "Edge-perts" Gehler, P., Welling, M. In Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference, Advances in neural information processing systems 18, :419-426, (Editors: Weiss, Y. , B. Schölkopf, J. Platt), MIT Press, Cambridge, MA, USA, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), May 2006 () PDF Web BibTeX

Empirical Inference Article SCARNA: Fast and Accurate Structural Alignment of RNA Sequences by Matching Fixed-Length Stem Fragments Tabei, Y., Tsuda, K., Kin, T., Asai, K. Bioinformatics, 22(14):1723-1729, May 2006 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Statistical Convergence of Kernel CCA Fukumizu, K., Bach, F., Gretton, A. In Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference, Advances in neural information processing systems 18, :387-394, (Editors: Weiss, Y. , B. Schölkopf, J. Platt), MIT Press, Cambridge, MA, USA, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), May 2006 () PDF Web BibTeX

Empirical Inference Article A Direct Method for Building Sparse Kernel Learning Algorithms Wu, M., Schölkopf, B., BakIr, G. Journal of Machine Learning Research, 7:603-624, April 2006 () PDF PDF BibTeX

Empirical Inference Technical Report An Automated Combination of Sequence Motif Kernels for Predicting Protein Subcellular Localization Zien, A., Ong, C. (146), Max Planck Institute for Biological Cybernetics, Tübingen, April 2006 () PDF Web BibTeX

Empirical Inference Talk An Inventory of Sequence Polymorphisms For Arabidopsis Clark, R., Ossowski, S., Schweikert, G., Rätsch, G., Shinn, P., Zeller, G., Warthmann, N., Fu, G., Hinds, D., Chen, H., et al. 17th International Conference on Arabidopsis Research, April 2006 () BibTeX

Empirical Inference Conference Paper Estimating Predictive Variances with Kernel Ridge Regression Cawley, G., Talbot, N., Chapelle, O. In Machine Learning Challenges: First PASCAL Machine Learning Challenges Workshop (MLCW 2005), MLCW 2005, :56-77, (Editors: Quinonero-Candela, J. , I. Dagan, B. Magnini, F. D‘Alché-Buc), Springer, Berlin, Germany, First PASCAL Machine Learning Challenges Workshop, April 2006 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Evaluating Predictive Uncertainty Challenge Quinonero Candela, J., Rasmussen, C., Sinz, F., Bousquet, O., Schölkopf, B. In Machine Learning Challenges: First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment, :1-27, (Editors: J Quiñonero Candela and I Dagan and B Magnini and F d’Alché-Buc), Springer, Berlin, Germany, First PASCAL Machine Learning Challenges Workshop (MLCW 2005), April 2006 () PDF Web DOI BibTeX

Empirical Inference Thesis Kernel PCA for Image Compression Huhle, B. Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, Germany, April 2006 () PDF BibTeX

Empirical Inference Conference Paper Learning an Interest Operator from Human Eye Movements Kienzle, W., Wichmann, F., Schölkopf, B., Franz, M. In Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW 2006), CVPWR 2006, :page 24, (Editors: C Schmid and S Soatto and C Tomasi), IEEE Computer Society, Los Alamitos, CA, USA, 2006 Conference on Computer Vision and Pattern Recognition Workshop, April 2006 () PDF Web DOI BibTeX

Empirical Inference Article Phase noise and the classification of natural images Wichmann, F., Braun, D., Gegenfurtner, K. Vision Research, 46(8-9):1520-1529, April 2006 () PDF Web DOI BibTeX

Empirical Inference Article The Effect of Artifacts on Dependence Measurement in fMRI Gretton, A., Belitski, A., Murayama, Y., Schölkopf, B., Logothetis, N. Magnetic Resonance Imaging, 24(4):401-409, April 2006 () PDF Web DOI BibTeX

Empirical Inference Technical Report Training a Support Vector Machine in the Primal Chapelle, O. (147), Max Planck Institute for Biological Cybernetics, Tübingen, April 2006, The version in the "Large Scale Kernel Machines" book is more up to date. () PDF BibTeX

Empirical Inference Poster Classification of Natural Scenes: Critical Features Revisited Drewes, J., Wichmann, F., Gegenfurtner, K. 9:92, 9th T{\"u}bingen Perception Conference (TWK 2006), March 2006 () Web BibTeX

Empirical Inference Poster Factorial Coding of Natural Images: How Effective are Linear Models in Removing Higher-Order Dependencies? Bethge, M. 9:90, 9th T{\"u}bingen Perception Conference (TWK 2006), March 2006 () Web BibTeX

Empirical Inference Ph.D. Thesis Gaussian Process Models for Robust Regression, Classification, and Reinforcement Learning Kuss, M. Biologische Kybernetik, Technische Universität Darmstadt, Darmstadt, Germany, March 2006, passed with distinction, published online () PDF BibTeX

Empirical Inference Conference Paper Implicit Volterra and Wiener Series for Higher-Order Image Analysis Franz, M., Schölkopf, B. In Advances in Data Analysis: Proceedings of the 30th Annual Conference of The Gesellschaft für Klassifikation, 30:1, March 2006 (Published) PDF BibTeX

Empirical Inference Conference Paper Machine Learning Methods For Estimating Operator Equations Steinke, F., Schölkopf, B. In Proceedings of the 14th IFAC Symposium on System Identification (SYSID 2006), Proceedings of the 14th IFAC Symposium on System Identification (SYSID 2006), :6, (Editors: B Ninness and H Hjalmarsson), Elsevier, Oxford, United Kingdom, 14th IFAC Symposium on System Identification (SYSID 2006), March 2006 () PDF Web BibTeX

Empirical Inference Article Network-based de-noising improves prediction from microarray data Kato, T., Murata, Y., Miura, K., Asai, K., Horton, P., Tsuda, K., Fujibuchi, W. BMC Bioinformatics, 7(Suppl. 1):S4-S4, March 2006 () PDF PDF DOI BibTeX

Empirical Inference Article Statistical Properties of Kernel Principal Component Analysis Blanchard, G., Bousquet, O., Zwald, L. Machine Learning, 66(2-3):259-294, March 2006 () PDF PDF DOI BibTeX

Empirical Inference Poster The Pedestal Effect is Caused by Off-Frequency Looking, not Nonlinear Transduction or Contrast Gain-Control Wichmann, F., Henning, G. 9:174, 9th T{\"u}bingen Perception Conference (TWK 2006), March 2006 () Web BibTeX

Empirical Inference Technical Report Cross-Validation Optimization for Structured Hessian Kernel Methods Seeger, M., Chapelle, O. Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, February 2006 () PDF Web BibTeX

Empirical Inference Article Model-based Design Analysis and Yield Optimization Pfingsten, T., Herrmann, D., Rasmussen, C. IEEE Transactions on Semiconductor Manufacturing, 19(4):475-486, February 2006 () PDF Web DOI BibTeX

Empirical Inference Article Weighting of experimental evidence in macromolecular structure determination Habeck, M., Rieping, W., Nilges, M. Proceedings of the National Academy of Sciences of the United States of America, 103(6):1756-1761, February 2006 () Web DOI BibTeX

Empirical Inference Poster Nonstationary Gaussian Process Regression using a Latent Extension of the Input Space Pfingsten, T., Kuss, M., Rasmussen, C. :3, January 2006 () PDF BibTeX

Empirical Inference Conference Paper Causal Inference by Choosing Graphs with Most Plausible Markov Kernels Sun, X., Janzing, D., Schölkopf, B. In Proceedings of the Ninth International Symposium on Artificial Intelligence and Mathematics (AI & Math 2006, Proceedings of the 9th International Symposium on Artificial Intelligence and Mathematics, :1-11, ISAIM, January 2006 () PDF Web BibTeX

Empirical Inference Article Classification of Faces in Man and Machine Graf, A., Wichmann, F., Bülthoff, H., Schölkopf, B. Neural Computation, 18(1):143-165, January 2006 () PDF Web BibTeX

Empirical Inference Book Gaussian Processes for Machine Learning Rasmussen, C., Williams, C. :248, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, January 2006 () Web BibTeX

Empirical Inference Poster Classification of natural scenes: critical features revisited Drewes, J., Wichmann, F., Gegenfurtner, K. Experimentelle Psychologie: Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen, 48:251, 2006 () BibTeX

Empirical Inference Book Chapter Combining a Filter Method with SVMs Lal, T., Chapelle, O., Schölkopf, B. In Feature Extraction: Foundations and Applications, Studies in Fuzziness and Soft Computing, Vol. 207, :439-446, Studies in Fuzziness and Soft Computing ; 207, (Editors: I Guyon and M Nikravesh and S Gunn and LA Zadeh), Springer, Berlin, Germany, 2006 () PDF DOI BibTeX

Empirical Inference Book Chapter Embedded methods Lal, T., Chapelle, O., Weston, J., Elisseeff, A. In Feature Extraction: Foundations and Applications, :137-165, Studies in Fuzziness and Soft Computing ; 207, (Editors: Guyon, I. , S. Gunn, M. Nikravesh, L. A. Zadeh), Springer, Berlin, Germany, 2006 () PDF Web BibTeX

Autonomous Motion Empirical Inference Conference Paper Learning operational space control Peters, J., Schaal, S. In Robotics: Science and Systems II (RSS 2006), :255-262, (Editors: Gaurav S. Sukhatme and Stefan Schaal and Wolfram Burgard and Dieter Fox), Cambridge, MA: MIT Press, RSS , 2006, clmc () URL BibTeX

Empirical Inference Proceedings Machine Learning Challenges: evaluating predictive uncertainty, visual object classification and recognising textual entailment Quinonero Candela, J., Dagan, I., Magnini, B., Lauria, F. Proceedings of the First Pascal Machine Learning Challenges Workshop on Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment (MLCW 2005), :462, Lecture Notes in Computer Science, Springer, Heidelberg, Germany, First Pascal Machine Learning Challenges Workshop (MLCW 2005), 2006 () Web DOI BibTeX

Autonomous Motion Empirical Inference Conference Paper Reinforcement Learning for Parameterized Motor Primitives Peters, J., Schaal, S. In Proceedings of the 2006 International Joint Conference on Neural Networks, :73-80, IJCNN, 2006, clmc () DOI URL BibTeX

Empirical Inference Poster Texture and haptic cues in slant discrimination: combination is sensitive to reliability but not statistically optimal Rosas, P., Wagemans, J., Ernst, M., Wichmann, F. Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen (TeaP 2006), 48:80, 2006 () BibTeX

Empirical Inference Poster The pedestal effect is caused by off-frequency looking, not nonlinear transduction or contrast gain-control Wichmann, F., Henning, B. Experimentelle Psychologie: Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen, 48:205, 2006 () BibTeX

Empirical Inference Poster Ähnlichkeitsmasse in Modellen zur Kategorienbildung Jäkel, F., Wichmann, F. Experimentelle Psychologie: Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen, 48:223, 2006 () BibTeX

Empirical Inference Article A Unifying View of Sparse Approximate Gaussian Process Regression Quinonero Candela, J., Rasmussen, C. Journal of Machine Learning Research, 6:1935-1959, December 2005 () PDF BibTeX

Empirical Inference Talk A taxonomy of semi-supervised learning algorithms Chapelle, O. Yahoo!, December 2005 () PDF BibTeX

Empirical Inference Conference Paper Kernel ICA for Large Scale Problems Jegelka, S., Gretton, A., Achlioptas, D. In :-, NIPS 2005 Workshop on Large Scale Kernel Machines, December 2005 () Web BibTeX

Empirical Inference Article Kernel Methods for Measuring Independence Gretton, A., Herbrich, R., Smola, A., Bousquet, O., Schölkopf, B. Journal of Machine Learning Research, 6:2075-2129, December 2005 () PDF PostScript PDF BibTeX

Empirical Inference Talk Some thoughts about Gaussian Processes Chapelle, O. NIPS 2005 Workshop on Open Problems in Gaussian Processes for Machine Learning, December 2005 () PDF Web BibTeX

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