DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation


Research Groups

Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group


Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

AI

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Empirical Inference Talk A Kernel Method for the Two-Sample-Problem Gretton, A., Borgwardt, K., Rasch, M., Schölkopf, B., Smola, A. 20th Annual Conference on Neural Information Processing Systems (NIPS 2006), December 2006 () PDF BibTeX

Empirical Inference Article A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression Franz, M., Schölkopf, B. Neural Computation, 18(12):3097-3118, December 2006 () PDF Web DOI BibTeX

Empirical Inference Talk Ab-initio gene finding using machine learning Schweikert, G., Zeller, G., Zien, A., Ong, C., de Bona, F., Sonnenburg, S., Phillips, P., Rätsch, G. NIPS 2006 Workshop on New Problems and Methods in Computational Biology, December 2006 () Web BibTeX

Empirical Inference Conference Paper Conformal Multi-Instance Kernels Blaschko, M., Hofmann, T. In NIPS 2006 Workshop on Learning to Compare Examples, :1-6, NIPS 2006 Workshop on Learning to Compare Examples, December 2006 () PDF Web BibTeX

Empirical Inference Talk Graph boosting for molecular QSAR analysis Saigo, H., Kadowaki, T., Kudo, T., Tsuda, K. NIPS 2006 Workshop on New Problems and Methods in Computational Biology, December 2006 () Web BibTeX

Empirical Inference Talk Inferring Causal Directions by Evaluating the Complexity of Conditional Distributions Sun, X., Janzing, D., Schölkopf, B. NIPS 2006 Workshop on Causality and Feature Selection, December 2006 () Web BibTeX

Empirical Inference Talk Learning Optimal EEG Features Across Time, Frequency and Space Farquhar, J., Hill, J., Schölkopf, B. NIPS 2006 Workshop on Current Trends in Brain-Computer Interfacing, December 2006 () PDF Web BibTeX

Empirical Inference Technical Report Minimal Logical Constraint Covering Sets Sinz, F., Schölkopf, B. (155), Max Planck Institute for Biological Cybernetics, Tübingen, December 2006 () PDF BibTeX

Empirical Inference Poster Some observations on the pedestal effect or dipper function Henning, B., Wichmann, F. Journal of Vision, 6(13):50, 2006 Fall Vision Meeting of the Optical Society of America, December 2006 () Web DOI BibTeX

Empirical Inference Article Structure validation of the Josephin domain of ataxin-3: Conclusive evidence for an open conformation Nicastro, G., Habeck, M., Masino, L., Svergun, D., Pastore, A. Journal of Biomolecular NMR, 36(4):267-277, December 2006 () Web DOI BibTeX

Empirical Inference Talk Semi-Supervised Learning Zien, A. Advanced Methods in Sequence Analysis Lectures, November 2006 () Web BibTeX

Empirical Inference Talk A Machine Learning Approach for Determining the PET Attenuation Map from Magnetic Resonance Images Hofmann, M., Steinke, F., Judenhofer, M., Claussen, C., Schölkopf, B., Pichler, B. IEEE Medical Imaging Conference, November 2006 () BibTeX

Empirical Inference Conference Paper Adapting Spatial Filter Methods for Nonstationary BCIs Tomioka, R., Hill, J., Blankertz, B., Aihara, K. In Proceedings of 2006 Workshop on Information-Based Induction Sciences (IBIS 2006), IBIS 2006, :65-70, 2006 Workshop on Information-Based Induction Sciences, November 2006 () PDF BibTeX

Empirical Inference Book Chapter Discrete Regularization Zhou, D., Schölkopf, B. In Semi-supervised Learning, :237-250, Adaptive computation and machine learning, (Editors: O Chapelle and B Schölkopf and A Zien), MIT Press, Cambridge, MA, USA, November 2006 () PDF Web BibTeX

Empirical Inference Technical Report New Methods for the P300 Visual Speller Biessmann, F. (1), (Editors: Hill, J. ), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2006 () PDF BibTeX

Empirical Inference Poster Optimizing Spatial Filters for BCI: Margin- and Evidence-Maximization Approaches Farquhar, J., Hill, N., Schölkopf, B. Challenging Brain-Computer Interfaces: MAIA Workshop 2006, :1, November 2006 () PDF PDF BibTeX

Empirical Inference Book Chapter Prediction of Protein Function from Networks Shin, H., Tsuda, K. In Semi-Supervised Learning, :361-376, Adaptive Computation and Machine Learning, (Editors: Chapelle, O. , B. Schölkopf, A. Zien), MIT Press, Cambridge, MA, USA, November 2006 () Web BibTeX

Empirical Inference Article Statistical Analysis of Slow Crack Growth Experiments Pfingsten, T., Glien, K. Journal of the European Ceramic Society, 26(15):3061-3065, November 2006 () PDF PDF DOI BibTeX

Empirical Inference Technical Report Geometric Analysis of Hilbert Schmidt Independence criterion based ICA contrast function Shen, H., Jegelka, S., Gretton, A. (PA006080), National ICT Australia, Canberra, Australia, October 2006 () Web BibTeX

Empirical Inference Article Large-Scale Gene Expression Profiling Reveals Major Pathogenetic Pathways of Cartilage Degeneration in Osteoarthritis Aigner, T., Fundel, K., Saas, J., Gebhard, P., Haag, J., Weiss, T., Zien, A., Obermayr, F., Zimmer, R., Bartnik, E. Arthritis and Rheumatism, 54(11):3533-3544, October 2006 () Web DOI BibTeX

Empirical Inference Article Mining frequent stem patterns from unaligned RNA sequences Hamada, M., Tsuda, K., Kudo, T., Kin, T., Asai, K. Bioinformatics, 22(20):2480-2487, October 2006 () PDF Web DOI BibTeX

Empirical Inference Conference Paper A Linear Programming Approach for Molecular QSAR analysis Saigo, H., Kadowaki, T., Tsuda, K. In Proceedings of the International Workshop on Mining and Learning with Graphs 2006 (MLG 2006), MLG 2006, :85-96, (Editors: Gärtner, T. , G. C. Garriga, T. Meinl), International Workshop on Mining and Learning with Graphs, September 2006, Best Paper Award () PDF PDF BibTeX

Empirical Inference Conference Paper A Sober Look at Clustering Stability Ben-David, S., von Luxburg, U., Pal, D. In Learning Theory: 19th Annual Conference on Learning Theory (COLT 2006), COLT 2006, :5-19, (Editors: Lugosi, G. , H.-U. Simon), Springer, Berlin, Germany, 19th Annual Conference on Learning Theory, September 2006 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Bayesian Active Learning for Sensitivity Analysis Pfingsten, T. In Machine Learning: ECML 2006, ECML 2006, :353-364, (Editors: Fürnkranz, J. , T. Scheffer, M. Spiliopoulou), Springer, Berlin, Germany, 17th European Conference on Machine Learning, September 2006 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Finite-Horizon Optimal State-Feedback Control of Nonlinear Stochastic Systems Based on a Minimum Principle Deisenroth, M., Ohtsuka, T., Weissel, F., Brunn, D., Hanebeck, U. In Proceedings of the 6th IEEE International Conference on Multisensor Fusion and Integration (MFI 2006), MFI 2006, :371-376, (Editors: Hanebeck, U. D.), IEEE Service Center, Piscataway, NJ, USA, 6th IEEE International Conference on Multisensor Fusion and Integration, September 2006 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Graph Based Semi-Supervised Learning with Sharper Edges Shin, H., Hill, N., Rätsch, G. In Machine Learning: ECML 2006, ECML 2006, :401-412, (Editors: Fürnkranz, J. , T. Scheffer, M. Spiliopoulou), Springer, Berlin, Germany, 17th European Conference on Machine Learning (ECML), September 2006 () PDF Web DOI BibTeX

Empirical Inference Article Implicit Surface Modelling with a Globally Regularised Basis of Compact Support Walder, C., Schölkopf, B., Chapelle, O. Computer Graphics Forum, 25(3):635-644, September 2006 () PDF GZIP DOI BibTeX

Empirical Inference Conference Paper Incremental Aspect Models for Mining Document Streams Surendran, A., Sra, S. In Knowledge Discovery in Databases: PKDD 2006, PKDD 2006, :633-640, (Editors: Fürnkranz, J. , T. Scheffer, M. Spiliopoulou), Springer, Berlin, Germany, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, September 2006 () Web DOI BibTeX

Empirical Inference Talk Inferential Structure Determination: Probabilistic determination and validation of NMR structures Habeck, M. Gordon Research Conference on Computational Aspects of Biomolecular NMR, September 2006 () Web BibTeX

Empirical Inference Conference Paper Information Marginalization on Subgraphs Huang, J., Zhu, T., Rereiner, R., Zhou, D., Schuurmans, D. In Knowledge Discovery in Databases: PKDD 2006, ECML/PKDD 2006, :199-210, (Editors: Fürnkranz, J. , T. Scheffer, M. Spiliopoulou), Springer, Berlin, Germany, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, September 2006 () Web DOI BibTeX

Empirical Inference Poster Learning Eye Movements Kienzle, W., Wichmann, F., Schölkopf, B., Franz, M. Sensory Coding And The Natural Environment, 2006:1, September 2006 () Web BibTeX

Empirical Inference Conference Paper PALMA: Perfect Alignments using Large Margin Algorithms Rätsch, G., Hepp, B., Schulze, U., Ong, C. In Proceedings of the German Conference on Bioinformatics 2006 (GCB 2006), GCB 2006, :104-113, (Editors: Huson, D. , O. Kohlbacher, A. Lupas, K. Nieselt, A. Zell), Gesellschaft für Informatik, Bonn, Germany, German Conference on Bioinformatics, September 2006 () PDF Web BibTeX

Empirical Inference Conference Paper Regularised CSP for Sensor Selection in BCI Farquhar, J., Hill, N., Lal, T., Schölkopf, B. In Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006, Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006, :14-15, (Editors: GR Müller-Putz and C Brunner and R Leeb and R Scherer and A Schlögl and S Wriessnegger and G Pfurtscheller), Verlag der Technischen Universität Graz, Graz, Austria, 3rd International Brain-Computer Interface Workshop and Training Course, September 2006 () PDF PDF BibTeX

Empirical Inference Book Semi-Supervised Learning Chapelle, O., Schölkopf, B., Zien, A. :508, Adaptive computation and machine learning, MIT Press, Cambridge, MA, USA, September 2006 () Web BibTeX

Empirical Inference Conference Paper Time-Dependent Demixing of Task-Relevant EEG Signals Hill, N., Farquhar, J., Lal, T., Schölkopf, B. In Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006, Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006, :20-21, (Editors: GR Müller-Putz and C Brunner and R Leeb and R Scherer and A Schlögl and S Wriessnegger and G Pfurtscheller), Verlag der Technischen Universität Graz, Graz, Austria, 3rd International Brain-Computer Interface Workshop and Training Course, September 2006 () PDF PDF BibTeX

Empirical Inference Conference Paper Uniform Convergence of Adaptive Graph-Based Regularization Hein, M. In Learning Theory: 19th Annual Conference on Learning Theory (COLT 2006), COLT 2006, :50-64, (Editors: Lugosi, G. , H.-U. Simon), Springer, Berlin, Germany, 19th Annual Conference on Learning Theory, September 2006 () PDF Web DOI BibTeX

Empirical Inference Technical Report A tutorial on spectral clustering von Luxburg, U. (149), Max Planck Institute for Biological Cybernetics, Tübingen, August 2006 () PDF BibTeX

Empirical Inference Article An Online Support Vector Machine for Abnormal Events Detection Davy, M., Desobry, F., Gretton, A., Doncarli, C. Signal Processing, 86(8):2009-2025, August 2006 () PDF PostScript PDF DOI BibTeX

Empirical Inference Article Comment on “Support vector machines with applications” by J. M. Moguerza and A. Muñoz Bousquet, O., Schölkopf, B. Statistical Science, 21(3):337-340, August 2006 () DOI BibTeX

Empirical Inference Article Integrating Structured Biological data by Kernel Maximum Mean Discrepancy Borgwardt, K., Gretton, A., Rasch, M., Kriegel, H., Schölkopf, B., Smola, A. Bioinformatics, 22(4: ISMB 2006 Conference Proceedings):e49-e57, August 2006 () Web DOI BibTeX

Empirical Inference Article Large Scale Transductive SVMs Collobert, R., Sinz, F., Weston, J., Bottou, L. Journal of Machine Learning Research, 7:1687-1712, August 2006 () PostScript PDF PDF BibTeX

Autonomous Learning Conference Paper Let It Roll – Emerging Sensorimotor Coordination in a Spherical Robot Der, R., Martius, G., Hesse, F. In Proc, Artificial Life X, :192-198, Intl. Society for Artificial Life, MIT Press, August 2006 () BibTeX

Empirical Inference Talk Machine Learning Algorithms for Polymorphism Detection Schweikert, G., Zeller, G., Clark, R., Ossowski, S., Warthmann, N., Shinn, P., Frazer, K., Ecker, J., Huson, D., Weigel, D., et al. 2nd ISCB Student Council Symposium, August 2006 () Web BibTeX

Empirical Inference Conference Paper Supervised Probabilistic Principal Component Analysis Yu, S., Yu, K., Tresp, V., Kriegel, H., Wu, M. In Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2006), KDD 2006, :464-473, (Editors: Ungar, L. ), ACM Press, New York, NY, USA, 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2006 () PDF Web DOI BibTeX

Empirical Inference Technical Report Towards the Inference of Graphs on Ordered Vertexes Zien, A., Raetsch, G., Ong, C. (150), Max Planck Institute for Biological Cybernetics, Tübingen, August 2006 () PDF BibTeX

Empirical Inference Article ARTS: Accurate Recognition of Transcription Starts in Human Sonnenburg, S., Zien, A., Rätsch, G. Bioinformatics, 22(14):e472-e480, July 2006 () Web DOI BibTeX

Empirical Inference Article Building Support Vector Machines with Reduced Classifier Complexity Keerthi, S., Chapelle, O., DeCoste, D. Journal of Machine Learning Research, 7:1493-1515, July 2006 () PDF BibTeX

Empirical Inference Talk Inferential structure determination: Overview and new developments Habeck, M. Sixth CCPN Annual Conference: Efficient and Rapid Structure Determination by NMR, July 2006 () Web BibTeX