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Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

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Locomotion in Biorobotic and Somatic Systems

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Empirical Inference Article Center-surround patterns emerge as optimal predictors for human saccade targets Kienzle, W., Franz, M., Schölkopf, B., Wichmann, F. Journal of Vision, 9(5:7):1-15, May 2009 () PDF DOI BibTeX

Empirical Inference Book Chapter Data Mining for Biologists Tsuda, K. In Biological Data Mining in Protein Interaction Networks, :14-27, (Editors: Li, X. and Ng, S.-K.), Medical Information Science Reference, Hershey, PA, USA, May 2009 () Web BibTeX

Empirical Inference Conference Paper Efficient data reuse in value function approximation Hachiya, H., Akiyama, T., Sugiyama, M., Peters, J. In Proceedings of the 2009 IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (IEEE ADPRL 2009), IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning, :8-15, IEEE Service Center, Piscataway, NJ, USA, IEEE ADPRL, May 2009 () PDF Web DOI BibTeX

Empirical Inference Article Influence of Different Assignment Conditions on the Determination of Symmetric Homo-dimeric Structures with ARIA Bardiaux, B., Bernard, A., Rieping, W., Habeck, M., Malliavin, T., Nilges, M. Proteins, 75(3):569-585, May 2009 () Web DOI BibTeX

Empirical Inference Conference Paper Learning motor primitives for robotics Kober, J., Peters, J. In Proceedings of the 2009 IEEE International Conference on Robotics and Automation (ICRA 2009), :2112-2118, IEEE Service Center, Piscataway, NJ, USA, IEEE International Conference on Robotics and Automation (ICRA '09), May 2009 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction Kashima, H., Kato, T., Yamanishi, Y., Sugiyama, M., Tsuda, K. In Proceedings of the 2009 SIAM International Conference on Data Mining, :1099-1110, (Editors: Park, H. , S. Parthasarathy, H. Liu), Philadelphia, PA, USA, Society for Industrial and Applied Mathematics, SDM, May 2009 () PDF Web BibTeX

Empirical Inference Conference Paper Near-optimal supervised feature selection among frequent subgraphs Thoma, M., Cheng, H., Gretton, A., Han, J., Kriegel, H., Smola, A., Song, L., Yu, P., Yan, X., Borgwardt, K. In Proccedings of the 2009 SIAM Conference on Data Mining (SDM 2009), :1076-1087, (Editors: Park, H. , S. Parthasarathy, H. Liu), Philadelphia, PA, USA, Society for Industrial and Applied Mathematics, 9th SIAM Conference on Data Mining (SDM 2009), May 2009 () PDF PDF BibTeX

Empirical Inference Technical Report Semi-supervised subspace analysis of human functional magnetic resonance imaging data Shelton, J., Blaschko, M., Bartels, A. (185), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2009 () PDF BibTeX

Empirical Inference Conference Paper Using reward-weighted imitation for robot Reinforcement Learning Peters, J., Kober, J. In Proceedings of the 2009 IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (IEEE ADPRL 2009), IEEE ADPRL 2009, :226-232, IEEE Service Center, Piscataway, NJ, USA, 2009 IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning, May 2009 () Web DOI BibTeX

Empirical Inference Conference Paper A kernel method for unsupervised structured network inference Lippert, C., Stegle, O., Ghahramani, Z., Borgwardt, K. In Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, :368-375, (Editors: Van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 () PDF Web BibTeX

Empirical Inference Conference Paper An Expectation Maximization Algorithm for Continuous Markov Decision Processes with Arbitrary Reward Hoffman, M., Freitas, N., Doucet, A., Peters, J. In Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, :232-239, (Editors: van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 () PDF Web BibTeX

Empirical Inference Article Beamforming in Noninvasive Brain-Computer Interfaces Grosse-Wentrup, M., Liefhold, C., Gramann, K., Buss, M. IEEE Transactions on Biomedical Engineering, 56(4):1209-1219, April 2009 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Block Jacobi-type methods for non-orthogonal joint diagonalisation Shen, H., Hüper, K. In Proceedings of the 34th International Conference on Acoustics, Speech, and Signal Processing (ICASSP09), ICASSP09, :3285-3288, IEEE Service Center, Piscataway, NJ, USA, 34th International Conference on Acoustics, Speech, and Signal Processing, April 2009 () PDF Web DOI BibTeX

Empirical Inference Article Constructing Sparse Kernel Machines Using Attractors Lee, D., Jung, K., Lee, J. IEEE Transactions on Neural Networks, 20(4):721-729, April 2009 () Web DOI BibTeX

Empirical Inference Conference Paper Convex Perturbations for Scalable Semidefinite Programming Kulis, B., Sra, S., Dhillon, I. In Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, :296-303, (Editors: van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 () PDF Web BibTeX

Empirical Inference Conference Paper Denoising photographs using dark frames optimized by quadratic programming Gomez Rodriguez, M., Kober, J., Schölkopf, B. In Proceedings of the First IEEE International Conference on Computational Photography (ICCP 2009), :1-9, IEEE, Piscataway, NJ, USA, First IEEE International Conference on Computational Photography (ICCP 2009), April 2009 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Efficient Graphlet Kernels for Large Graph Comparison Shervashidze, N., Vishwanathan, S., Petri, T., Mehlhorn, K., Borgwardt, K. In Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AIStats 2009), JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, :488-495, (Editors: Van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 () PDF Web BibTeX

Empirical Inference Poster MR-Based Attenuation Correction for PET/MR Hofmann, M., Steinke, F., Bezrukov, I., Kolb, A., Aschoff, P., Lichy, M., Erb, M., Nägele, T., Brady, M., Schölkopf, B., et al. 17(260), 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009), April 2009 () PDF Web BibTeX

Empirical Inference Conference Paper On Pairwise Kernels: An Efficient Alternative and Generalization Analysis Kashima, H., Oyama, S., Yamanishi, Y., Tsuda, K. In Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia Conference, :1030-1037, (Editors: Theeramunkong, T. , B. Kijsirikul, N. Cercone, T. B. Ho), Springer, Berlin, Germany, PAKDD, April 2009 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Online blind deconvolution for astronomical imaging Harmeling, S., Hirsch, M., Sra, S., Schölkopf, B. In Proceedings of the First IEEE International Conference Computational Photography (ICCP 2009), :1-7, IEEE, Piscataway, NJ, USA, First IEEE International Conference on Computational Photography (ICCP 2009), April 2009 () PDF Web DOI BibTeX

Empirical Inference Article Optimal construction of k-nearest-neighbor graphs for identifying noisy clusters Maier, M., Hein, M., von Luxburg, U. Theoretical Computer Science, 410(19):1749-1764, April 2009 () PDF PDF DOI BibTeX

Empirical Inference Poster Optimization of k-Space Trajectories by Bayesian Experimental Design Seeger, M., Nickisch, H., Pohmann, R., Schölkopf, B. 17(2627), 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2009), April 2009 () PDF Web BibTeX

Empirical Inference Article Overlap and refractory effects in a Brain-Computer Interface speller based on the visual P300 Event-Related Potential Martens, S., Hill, N., Farquhar, J., Schölkopf, B. Journal of Neural Engineering, 6(2):1-9, April 2009 () PDF DOI BibTeX

Empirical Inference Conference Paper PAC-Bayesian Generalization Bound for Density Estimation with Application to Co-clustering Seldin, Y., Tishby, N. In In the proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS 2009), JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009, :472-479, MIT Press, Cambridge, MA, USA, 12th International Conference on Artificial Intelligence and Statistics, April 2009 () PDF Web BibTeX

Empirical Inference Ph.D. Thesis Kernel Methods in Computer Vision:Object Localization, Clustering,and Taxonomy Discovery Blaschko, M. Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, March 2009 () PDF PDF BibTeX

Empirical Inference Article Gaussian Process Dynamic Programming Deisenroth, M., Rasmussen, C., Peters, J. Neurocomputing, 72(7-9):1508-1524, March 2009 () PDF PDF DOI BibTeX

Empirical Inference Article Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions Bubeck, S., von Luxburg, U. Journal of Machine Learning Research, 10:657-698, March 2009 () PDF Web BibTeX

Empirical Inference Article Protein Functional Class Prediction With a Combined Graph Shin, H., Tsuda, K., Schölkopf, B. Expert Systems with Applications, 36(2):3284-3292, March 2009 () Web DOI BibTeX

Empirical Inference Article Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques Hofmann, M., Pichler, B., Schölkopf, B., Beyer, T. European Journal of Nuclear Medicine and Molecular Imaging, 36(Supplement 1):93-104, March 2009 () PDF DOI BibTeX

Empirical Inference Article Automatic detection of preclinical neurodegeneration: Presymptomatic Huntington disease Klöppel, S., Chu, C., Tan, G., Draganski, B., Johnson, H., Paulsen, J., Kienzle, W., Tabrizi, S., Ashburner, J., Frackowiak, R. Neurology, 72(5):426-431, February 2009 () Web BibTeX

Empirical Inference Article Enumeration of condition-dependent dense modules in protein interaction networks Georgii, E., Dietmann, S., Uno, T., Pagel, P., Tsuda, K. Bioinformatics, 25(7):933-940, February 2009 () Web DOI BibTeX

Empirical Inference Article Generating Spike Trains with Specified Correlation Coefficients Macke, J., Berens, P., Ecker, A., Tolias, A., Bethge, M. Neural Computation, 21(2):397-423, February 2009 () PDF Web DOI BibTeX

Empirical Inference Book Chapter Large Margin Methods for Part of Speech Tagging Altun, Y. In Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, :141-160, (Editors: Keshet, J. and Bengio, S.), Wiley, Hoboken, NJ, USA, January 2009 () Web BibTeX

Empirical Inference Article Prototype Classification: Insights from Machine Learning Graf, A., Bousquet, O., Rätsch, G., Schölkopf, B. Neural Computation, 21(1):272-300, January 2009 () PDF Web DOI BibTeX

Empirical Inference Article The DICS repository: module-assisted analysis of disease-related gene lists Dietmann, S., Georgii, E., Antonov, A., Tsuda, K., Mewes, H. Bioinformatics, 25(6):830-831, January 2009 () Web DOI BibTeX

Empirical Inference Conference Paper A Fast, Consistent Kernel Two-Sample Test Gretton, A., Fukumizu, K., Harchaoui, Z., Sriperumbudur, B. In Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009, Advances in Neural Information Processing Systems 22, :673-681, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), 2009 () PDF Web BibTeX

Empirical Inference Conference Paper Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity Blaschko, M., Shelton, J., Bartels, A. In Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009, Advances in Neural Information Processing Systems 22, :126-134, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), 2009 () PDF Web BibTeX

Empirical Inference Book Chapter Covariate shift and local learning by distribution matching Gretton, A., Smola, A., Huang, J., Schmittfull, M., Borgwardt, K., Schölkopf, B. In Dataset Shift in Machine Learning, :131-160, (Editors: Quiñonero-Candela, J., Sugiyama, M., Schwaighofer, A. and Lawrence, N. D.), MIT Press, Cambridge, MA, USA, 2009 () PDF Web BibTeX

Empirical Inference Article Discussion of: Brownian Distance Covariance Gretton, A., Fukumizu, K., Sriperumbudur, B. The Annals of Applied Statistics, 3(4):1285-1294, 2009 () BibTeX

Empirical Inference Conference Paper Efficient Bregman Range Search Cayton, L. In Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009, Advances in Neural Information Processing Systems 22, :243-251, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), 2009 () PDF Web BibTeX

Empirical Inference Conference Paper Fast subtree kernels on graphs Shervashidze, N., Borgwardt, K. In Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009, Advances in Neural Information Processing Systems 22, :1660-1668, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), 2009 () PDF Web BibTeX

Empirical Inference Conference Paper Graphical models for decoding in BCI visual speller systems Martens, S., Farquhar, J., Hill, J., Schölkopf, B. In :470-473, IEEE, 4th International IEEE EMBS Conference on Neural Engineering (NER 2009), 2009 () DOI BibTeX

Empirical Inference Conference Paper Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions Sriperumbudur, B., Fukumizu, K., Gretton, A., Lanckriet, G., Schölkopf, B. In Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009, Advances in Neural Information Processing Systems 22, :1750-1758, (Editors: Y Bengio and D Schuurmans and J Lafferty and C Williams and A Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), 2009 () PDF Web BibTeX

Empirical Inference Thesis Motor Control and Learning in Table Tennis Mülling, K. Eberhard Karls Universität Tübingen, Gerrmany, 2009 () BibTeX

Empirical Inference Article Non-linear System Identification: Visual Saliency Inferred from Eye-Movement Data Wichmann, F., Kienzle, W., Schölkopf, B., Franz, M. Journal of Vision, 9(8):article 32, 2009 () Web DOI BibTeX

Empirical Inference Conference Paper Nonlinear directed acyclic structure learning with weakly additive noise models Tillman, R., Gretton, A., Spirtes, P. In Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009, Advances in Neural Information Processing Systems 22, :1847-1855, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), 2009 () PDF Web BibTeX

Empirical Inference Article Structure and activity of the N-terminal substrate recognition domains in proteasomal ATPases Djuranovic, S., Hartmann, M., Habeck, M., Ursinus, A., Zwickl, P., Martin, J., Lupas, A., Zeth, K. Molecular Cell, 34(5):580-590, 2009 () DOI BibTeX