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Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

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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

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Empirical Inference Article Animal detection in natural scenes: Critical features revisited Wichmann, F., Drewes, J., Rosas, P., Gegenfurtner, K. Journal of Vision, 10(4):1-27, April 2010 () Web DOI BibTeX

Empirical Inference Article Gene function prediction from synthetic lethality networks via ranking on demand Lippert, C., Ghahramani, Z., Borgwardt, K. Bioinformatics, 26(7):912-918, April 2010 () Web DOI BibTeX

Empirical Inference Article Graph Kernels Vishwanathan, S., Schraudolph, N., Kondor, R., Borgwardt, K. Journal of Machine Learning Research, 11:1201-1242, April 2010 () PDF Web BibTeX

Empirical Inference Article Hilbert Space Embeddings and Metrics on Probability Measures Sriperumbudur, B., Gretton, A., Fukumizu, K., Schölkopf, B., Lanckriet, G. Journal of Machine Learning Research, 11:1517-1561, April 2010 () PDF BibTeX

Empirical Inference Poster Solving large-scale nonnegative least squares using an adaptive non-monotonic method Sra, S., Kim, D., Dhillon, I. 24th European Conference on Operational Research (EURO 2010), 24:223, April 2010 () PDF BibTeX

Empirical Inference Poster Sparse regression via a trust-region proximal method Kim, D., Sra, S., Dhillon, I. 24th European Conference on Operational Research (EURO 2010), 24:278, April 2010 () PDF BibTeX

Empirical Inference Talk Machine-Learning Methods for Decoding Intentional Brain States Hill, N. Symposium "Non-Invasive Brain Computer Interfaces: Current Developments and Applications" (BIOMAG 2010), March 2010 () PDF Web BibTeX

Empirical Inference Article A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Images Persello, C., Bruzzone, L. IEEE Transactions on Geoscience and Remote Sensing, 48(3):1232-1244, March 2010 () Web DOI BibTeX

Empirical Inference Article A toolbox for predicting G-quadruplex formation and stability Wong, H., Stegle, O., Rodgers, S., Huppert, J. Journal of Nucleic Acids, 2010(564946):1-6, March 2010 () PDF DOI BibTeX

Empirical Inference Technical Report Cooperative Cuts: Graph Cuts with Submodular Edge Weights Jegelka, S., Bilmes, J. (189), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, March 2010 () PDF BibTeX

Empirical Inference Conference Paper Experiments with Motor Primitives to learn Table Tennis Peters, J., Mülling, K., Kober, J. In Proceedings of the 12th International Symposium on Experimental Robotics (ISER 2010), Experimental Robotics, :1-13, (Editors: Khatib, O. , V. Kumar, G. Sukhatme), Springer, Berlin, Germany, 12th International Symposium on Experimental Robotics (ISER 2010), March 2010 () Web BibTeX

Empirical Inference Article On the Entropy Production of Time Series with Unidirectional Linearity Janzing, D. Journal of Statistical Physics, 138(4-5):767-779, March 2010 () PDF DOI BibTeX

Empirical Inference Talk PAC-Bayesian Analysis in Unsupervised Learning Seldin, Y. Foundations and New Trends of PAC Bayesian Learning Workshop, March 2010 () PDF Web BibTeX

Empirical Inference Poster PAC-Bayesian Bounds for Discrete Density Estimation and Co-clustering Analysis Seldin, Y., Tishby, N. Workshop "Foundations and New Trends of PAC Bayesian Learning", 2010, March 2010 () PDF Web BibTeX

Empirical Inference Thesis Quantitative Evaluation of MR-based Attenuation Correction for Positron Emission Tomography (PET) Mantlik, F. Biologische Kybernetik, Universität Mannheim, Germany, March 2010 () BibTeX

Empirical Inference Article Bayesian Online Multitask Learning of Gaussian Processes Pillonetto, G., Dinuzzo, F., De Nicolao, G. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(2):193-205, February 2010 () DOI BibTeX

Empirical Inference Conference Paper Causality: Objectives and Assessment Guyon, I., Janzing, D., Schölkopf, B. In JMLR Workshop and Conference Proceedings: Volume 6 , :1-42, (Editors: I Guyon and D Janzing and B Schölkopf), MIT Press, Cambridge, MA, USA, Causality: Objectives and Assessment (NIPS 2008 Workshop) , February 2010 () Web BibTeX

Empirical Inference Article Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning Morimura, T., Uchibe, E., Yoshimoto, J., Peters, J., Doya, K. Neural Computation, 22(2):342-376, February 2010 () PDF Web DOI BibTeX

Empirical Inference Proceedings JMLR Workshop and Conference Proceedings: Volume 6 Guyon, I., Janzing, D., Schölkopf, B. :288, MIT Press, Cambridge, MA, USA, Causality: Objectives and Assessment (NIPS 2008 Workshop) , February 2010 () Web BibTeX

Empirical Inference Talk Learning Motor Primitives for Robotics Kober, J., Peters, J. EVENT Lab: Reinforcement Learning in Robotics and Virtual Reality, January 2010 () BibTeX

Empirical Inference Book From Motor Learning to Interaction Learning in Robots Sigaud, O., Peters, J. :538, Studies in Computational Intelligence ; 264, (Editors: O Sigaud, J Peters), Springer, Berlin, Germany, January 2010 () Web DOI BibTeX

Empirical Inference Book Chapter From Motor Learning to Interaction Learning in Robots Sigaud, O., Peters, J. In From Motor Learning to Interaction Learning in Robots, :1-12, Studies in Computational Intelligence ; 264, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 () Web DOI BibTeX

Empirical Inference Book Chapter Imitation and Reinforcement Learning for Motor Primitives with Perceptual Coupling Kober, J., Mohler, B., Peters, J. In From Motor Learning to Interaction Learning in Robots, :209-225, Studies in Computational Intelligence ; 264, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 () PDF Web DOI BibTeX

Empirical Inference Book Chapter Learning Continuous Grasp Affordances by Sensorimotor Exploration Detry, R., Baseski, E., Popovic, M., Touati, Y., Krüger, N., Kroemer, O., Peters, J., Piater, J. In From Motor Learning to Interaction Learning in Robots, :451-465, Studies in Computational Intelligence ; 264, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 () PDF Web DOI BibTeX

Empirical Inference Article Optimization of k-Space Trajectories for Compressed Sensing by Bayesian Experimental Design Seeger, M., Nickisch, H., Pohmann, R., Schölkopf, B. Magnetic Resonance in Medicine, 63(1):116-126, January 2010 () Web DOI BibTeX

Empirical Inference Book Chapter Real-Time Local GP Model Learning Nguyen-Tuong, D., Seeger, M., Peters, J. In From Motor Learning to Interaction Learning in Robots, 264:193-207, Studies in Computational Intelligence, (Editors: Sigaud, O. and Peters, J.), Springer, Berlin, Germany, January 2010 () PDF Web DOI BibTeX

Empirical Inference Article The semigroup approach to transport processes in networks Dorn, B., Fijavz, M., Nagel, R., Radl, A. Physica D: Nonlinear Phenomena, 239(15):1416-1421, January 2010 () Web DOI BibTeX

Empirical Inference Book Chapter Approaches Based on Support Vector Machine to Classification of Remote Sensing Data Bruzzone, L., Persello, C. In Handbook of Pattern Recognition and Computer Vision, :329-352, (Editors: Chen, C.H.), ICP, London, UK, 2010 () Web BibTeX

Empirical Inference Ph.D. Thesis Bayesian Methods for Neural Data Analysis Gerwinn, S. Eberhard Karls Universität Tübingen, Germany, 2010 () Web BibTeX

Empirical Inference Conference Paper Bootstrapping Apprenticeship Learning Boularias, A., Chaib-Draa, B. In Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, Advances in Neural Information Processing Systems 23, :289-297, (Editors: Lafferty, J. , C. K.I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta), Curran, Red Hook, NY, USA, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), 2010 () PDF Web BibTeX

Empirical Inference Conference Paper Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition Danafar, S., Gretton, A., Schmidhuber, J. In Machine Learning and Knowledge Discovery in Databases, LNCS Vol. 6321, :264-279, (Editors: JL Balcázar and F Bonchi and A Gionis and M Sebag), Springer, Berlin, Germany, ECML PKDD, 2010 () DOI BibTeX

Empirical Inference Ph.D. Thesis Clustering with Neighborhood Graphs Maier, M. Universität des Saarlandes, Saarbrücken, Germany, 2010 () Web BibTeX

Empirical Inference Article Consistent Nonparametric Tests of Independence Gretton, A., Györfi, L. Journal of Machine Learning Research, 11:1391-1423, 2010 () PDF BibTeX

Empirical Inference Thesis Detecting the mincut in sparse random graphs Köhler, R. Eberhard Karls Universität Tübingen, Germany, 2010 () BibTeX

Empirical Inference Conference Paper Distinguishing Causes from Effects using Nonlinear Acyclic Causal Models Zhang, K., Hyvärinen, A. In JMLR Workshop and Conference Proceedings, Volume 6, :157-164, (Editors: I Guyon and D Janzing and B Schölkopf), MIT Press, Cambridge, MA, USA, Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010 () PDF Web BibTeX

Empirical Inference Conference Paper Distinguishing between cause and effect Mooij, J., Janzing, D. In JMLR Workshop and Conference Proceedings: Volume 6, :147-156, (Editors: Guyon, I. , D. Janzing, B. Schölkopf), MIT Press, Cambridge, MA, USA, Causality: Objectives and Assessment (NIPS 2008 Workshop) , 2010 () PDF Web BibTeX

Empirical Inference Poster Erste Erfahrungen bei der Beurteilung hämato-onkologischer Krankheitsmanifestationen an den Extremitäten mit einem PET/MRT-Hybridsystem. Sauter, A., Boss, A., Kolb, A., Mantlik, F., Bethge, W., Kanz, L., Pfannenberg, C., Stegger, L., Pichler, B., Claussen, C., et al. Thieme Verlag, Stuttgart, Germany, 91. Deutscher R{\"o}ntgenkongress, 2010 () Web DOI BibTeX

Empirical Inference Thesis Finding Gene-Gene Interactions using Support Vector Machines Rakitsch, B. Eberhard Karls Universität Tübingen, Germany, 2010 () BibTeX

Empirical Inference Conference Paper Getting lost in space: Large sample analysis of the resistance distance von Luxburg, U., Radl, A., Hein, M. In Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, Advances in Neural Information Processing Systems 23, :2622-2630, (Editors: Lafferty, J. , C. K.I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta), Curran, Red Hook, NY, USA, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), 2010 () PDF Web BibTeX

Empirical Inference Article Inferring latent task structure for Multitask Learning by Multiple Kernel Learning Widmer, C., Toussaint, N., Altun, Y., Rätsch, G. BMC Bioinformatics, 11 Suppl 8:S5, 2010 () Web DOI BibTeX

Empirical Inference Technical Report Information-theoretic inference of common ancestors Steudel, B., Ay, N. Computing Research Repository (CoRR), abs/1010.5720:18, 2010 () Web BibTeX

Empirical Inference Conference Paper JigPheno: Semantic Feature Extraction in biological images Karaletsos, T., Stegle, O., Winn, J., Borgwardt, K. In NIPS 2010, Workshop on Machine Learning in Computational Biology, 2010 () BibTeX

Empirical Inference Conference Paper Kernel Methods for Detecting the Direction of Time Series Peters, J., Janzing, D., Gretton, A., Schölkopf, B. In Advances in Data Analysis, Data Handling and Business Intelligence, Advances in Data Analysis, Data Handling and Business Intelligence, :57-66, (Editors: A Fink and B Lausen and W Seidel and A Ultsch), Springer, Berlin, Germany, 32nd Annual Conference of the Gesellschaft f{\"u}r Klassifikation e.V. (GfKl 2008), 2010 () PDF Web DOI BibTeX

Empirical Inference Poster Learning the Reward Model of Dialogue POMDPs Boularias, A., Chinaei, H., Chaib-Draa, B. NIPS 2010 Workshop on Machine Learning for Assistive Technology (MLAT-2010), 2010 () BibTeX

Empirical Inference Conference Paper Leveraging Sequence Classification by Taxonomy-based Multitask Learning Widmer, C., Leiva, J., Altun, Y., Rätsch, G. In Research in Computational Molecular Biology, LNCS, Vol. 6044, :522-534, (Editors: B Berger), Springer, Berlin, Germany, 14th Annual International Conference, RECOMB, 2010 () DOI BibTeX

Empirical Inference Book Chapter Machine Learning Methods for Automatic Image Colorization Charpiat, G., Bezrukov, I., Hofmann, M., Altun, Y., Schölkopf, B. In Computational Photography: Methods and Applications, :395-418, Digital Imaging and Computer Vision, (Editors: Lukac, R.), CRC Press, Boca Raton, FL, USA, 2010 () PDF Web BibTeX

Empirical Inference Conference Paper Movement extraction by detecting dynamics switches and repetitions Chiappa, S., Peters, J. In Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, Advances in Neural Information Processing Systems 23, :388-396, (Editors: Lafferty, J. , C. K.I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta), Curran, Red Hook, NY, USA, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), 2010 () PDF Web BibTeX