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Human Aspects of Machine Learning

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Empirical Inference Thesis A priori Knowledge from Non-Examples Sinz, F. Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, March 2007 () PDF Web BibTeX

Empirical Inference Ph.D. Thesis Applications of Kernel Machines to Structured Data Eichhorn, J. Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, March 2007, passed with "sehr gut", published online () PDF BibTeX

Empirical Inference Conference Paper Bayesian Inference and Optimal Design in the Sparse Linear Model Seeger, M., Steinke, F., Tsuda, K. In Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007, :444-451, (Editors: Meila, M. , X. Shen), JMLR, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 () PDF Web BibTeX

Empirical Inference Poster Bayesian Neural System identification: error bars, receptive fields and neural couplings Gerwinn, S., Seeger, M., Zeck, G., Bethge, M. 31st G{\"o}ttingen Neurobiology Conference, 31:360, March 2007 () PDF PDF BibTeX

Empirical Inference Conference Paper Deterministic Annealing for Multiple-Instance Learning Gehler, P., Chapelle, O. In Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007, :123-130, (Editors: Meila, M. , X. Shen), MIT Press, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 () PDF Web BibTeX

Empirical Inference Technical Report Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach Chiappa, S., Barber, D. (161), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, March 2007 () PDF BibTeX

Empirical Inference Poster Do We Know What the Early Visual System Computes? Bethge, M., Kayser, C. 31st G{\"o}ttingen Neurobiology Conference, 31:352, March 2007 () PDF BibTeX

Empirical Inference Conference Paper Fast Kernel ICA using an Approximate Newton Method Shen, H., Jegelka, S., Gretton, A. In Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007, :476-483, (Editors: Meila, M. , X. Shen), MIT Press, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 () PDF Web BibTeX

Empirical Inference Poster Identifying temporal population codes in the retina using canonical correlation analysis Bethge, M., Macke, J., Gerwinn, S., Zeck, G. 31st G{\"o}ttingen Neurobiology Conference, 31:359, March 2007 () PDF PDF BibTeX

Empirical Inference Poster Implicit Wiener Series for Estimating Nonlinear Receptive Fields Franz, M., Macke, J., Saleem, A., Schultz, S. 31st G{\"o}ttingen Neurobiology Conference, 31:1199, March 2007 () PDF BibTeX

Empirical Inference Book Chapter Probabilistic Structure Calculation Rieping, W., Habeck, M., Nilges, M. In Structure and Biophysics: New Technologies for Current Challenges in Biology and Beyond, :81-98, NATO Security through Science Series, (Editors: Puglisi, J. D.), Springer, Berlin, Germany, March 2007 () Web DOI BibTeX

Empirical Inference Conference Paper Stick-breaking Construction for the Indian Buffet Process Teh, Y., Görür, D., Ghahramani, Z. In Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS 2007), JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007, :556-563, (Editors: Meila, M. , X. Shen), MIT Press, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 () PDF Web BibTeX

Empirical Inference Article Training a Support Vector Machine in the Primal Chapelle, O. Neural Computation, 19(5):1155-1178, March 2007 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Transductive Classification via Local Learning Regularization Wu, M., Schölkopf, B. In Proceedings of the 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007, :628-635, (Editors: M Meila and X Shen), 11th International Conference on Artificial Intelligence and Statistics, March 2007 () PDF Web BibTeX

Empirical Inference Poster About the Triangle Inequality in Perceptual Spaces Jäkel, F., Schölkopf, B., Wichmann, F. Proceedings of the Computational and Systems Neuroscience Meeting 2007 (COSYNE), 4:308, February 2007 () PDF Web BibTeX

Empirical Inference Technical Report Automatic 3D Face Reconstruction from Single Images or Video Breuer, P., Kim, K., Kienzle, W., Blanz, V., Schölkopf, B. (160), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, February 2007 () PDF BibTeX

Empirical Inference Poster Center-surround filters emerge from optimizing predictivity in a free-viewing task Kienzle, W., Wichmann, F., Schölkopf, B., Franz, M. Proceedings of the Computational and Systems Neuroscience Meeting 2007 (COSYNE), 4:207, February 2007 () PDF Web BibTeX

Empirical Inference Poster Estimating Population Receptive Fields in Space and Time Macke, J., Zeck, G., Bethge, M. Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007), 4:44, February 2007 () PDF Web BibTeX

Empirical Inference Article Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning Rätsch, G., Sonnenburg, S., Srinivasan, J., Witte, H., Müller, K., Sommer, R., Schölkopf, B. PLoS Computational Biology, 3(2, e20):0313-0322, February 2007 () PDF DOI BibTeX

Empirical Inference Ph.D. Thesis Machine Learning for Mass Production and Industrial Engineering Pfingsten, T. Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, February 2007 () PDF BibTeX

Empirical Inference Talk New Margin- and Evidence-Based Approaches for EEG Signal Classification Hill, N., Farquhar, J. Invited talk at the FaSor Jahressymposium, February 2007 () PDF BibTeX

Empirical Inference Poster Nonlinear Receptive Field Analysis: Making Kernel Methods Interpretable Kienzle, W., Macke, J., Wichmann, F., Schölkopf, B., Franz, M. Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007), 4:16, February 2007 () PDF Web BibTeX

Empirical Inference Article Quantum broadcasting problem in classical low-power signal processing Janzing, D., Steudel, B. Physical Review A, 75(2):11, February 2007 () Web DOI BibTeX

Empirical Inference Article Statistical Consistency of Kernel Canonical Correlation Analysis Fukumizu, K., Bach, F., Gretton, A. Journal of Machine Learning Research, 8:361-383, February 2007 () PDF BibTeX

Empirical Inference Conference Paper The Independent Components of Natural Images are Perceptually Dependent Bethge, M., Wiecki, T., Wichmann, F. In Human Vision and Electronic Imaging XII: Proceedings of the SPIE Human Vision and Electronic Imaging Conference 2007, Human Vision and Electronic Imaging XII, :1-12, (Editors: Rogowitz, B. E.), SPIE, Bellingham, WA, USA, SPIE Human Vision and Electronic Imaging Conference, February 2007 () PDF Web DOI BibTeX

Empirical Inference Conference Paper Unsupervised learning of a steerable basis for invariant image representations Bethge, M., Gerwinn, S., Macke, J. In Human Vision and Electronic Imaging XII: Proceedings of the SPIE Human Vision and Electronic Imaging Conference 2007, Human Vision and Electronic Imaging XII, :1-12, (Editors: Rogowitz, B. E.), SPIE, Bellingham, WA, USA, SPIE Human Vision and Electronic Imaging Conference, February 2007 () PDF Web DOI BibTeX

Empirical Inference Conference Paper A Subspace Kernel for Nonlinear Feature Extraction Wu, M., Farquhar, J. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), IJCAI-07, :1125-1130, (Editors: Veloso, M. M.), AAAI Press, Menlo Park, CA, USA, International Joint Conference on Artificial Intelligence, January 2007 () PDF Web BibTeX

Empirical Inference Article Cue Combination and the Effect of Horizontal Disparity and Perspective on Stereoacuity Zalevski, A., Henning, G., Hill, N. Spatial Vision, 20(1):107-138, January 2007 () PDF PDF DOI BibTeX

Empirical Inference Thesis Development of a Brain-Computer Interface Approach Based on Covert Attention to Tactile Stimuli Raths, C. University of Tübingen, Germany, University of Tübingen, Germany, January 2007 () BibTeX

Empirical Inference Book Chapter On the Pre-Image Problem in Kernel Methods BakIr, G., Schölkopf, B., Weston, J. In Kernel Methods in Bioengineering, Signal and Image Processing, :284-302, (Editors: G Camps-Valls and JL Rojo-Álvarez and M Martínez-Ramón), Idea Group Publishing, Hershey, PA, USA, January 2007 () DOI BibTeX

Empirical Inference Article Some observations on the pedestal effect Henning, G., Wichmann, F. Journal of Vision, 7(1:3):1-15, January 2007 () PDF Web DOI BibTeX

Empirical Inference Thesis A Machine Learning Approach for Estimating the Attenuation Map for a Combined PET/MR Scanner Hofmann, M. Biologische Kybernetik, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, 2007 () BibTeX

Autonomous Motion Empirical Inference Conference Paper Evaluation of Policy Gradient Methods and Variants on the Cart-Pole Benchmark Riedmiller, M., Peters, J., Schaal, S. In Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, :254-261, ADPRL, 2007, clmc () PDF BibTeX

Empirical Inference Miscellaneous Mathematik der Wahrnehmung: Wendepunkte Wichman, F., Ernst, M. Akademische Mitteilungen zw{\"o}lf: F{\"u}nf Sinne, :32-37, 2007 () BibTeX

Autonomous Motion Empirical Inference Conference Paper Policy Learning for Motor Skills Peters, J., Schaal, S. In Proceedings of 14th International Conference on Neural Information Processing (ICONIP), :233-242, (Editors: Ishikawa, M. , K. Doya, H. Miyamoto, T. Yamakawa), 2007, clmc () PDF DOI BibTeX

Autonomous Motion Empirical Inference Conference Paper Policy gradient methods for machine learning Peters, J., Theodorou, E., Schaal, S. In Proceedings of the 14th INFORMS Conference of the Applied Probability Society, :97-98, Eindhoven, Netherlands, July 9-11, 2007, 2007, clmc () BibTeX

Autonomous Motion Empirical Inference Conference Paper Reinforcement Learning for Optimal Control of Arm Movements Theodorou, E., Peters, J., Schaal, S. In Abstracts of the 37st Meeting of the Society of Neuroscience., Neuroscience, 2007, clmc () BibTeX

Autonomous Motion Empirical Inference Conference Paper Reinforcement learning by reward-weighted regression for operational space control Peters, J., Schaal, S. In Proceedings of the 24th Annual International Conference on Machine Learning, :745-750, ICML, 2007, clmc () DOI URL BibTeX

Autonomous Motion Empirical Inference Conference Paper Reinforcement learning for operational space control Peters, J., Schaal, S. In Proceedings of the 2007 IEEE International Conference on Robotics and Automation, :2111-2116, IEEE Computer Society, ICRA, 2007, clmc () DOI URL BibTeX

Autonomous Motion Empirical Inference Technical Report Relative Entropy Policy Search Peters, J. CLMC Technical Report: TR-CLMC-2007-2, Computational Learning and Motor Control Lab, Los Angeles, CA, 2007, clmc () PDF URL BibTeX

Autonomous Motion Empirical Inference Conference Paper Towards Machine Learning of Motor Skills Peters, J., Schaal, S., Schölkopf, B. In Proceedings of Autonome Mobile Systeme (AMS), :138-144, (Editors: K Berns and T Luksch), 2007, clmc () PDF DOI BibTeX

Autonomous Motion Empirical Inference Conference Paper Using reward-weighted regression for reinforcement learning of task space control Peters, J., Schaal, S. In Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning, :262-267, Honolulu, Hawaii, April 1-5, 2007, 2007, clmc () DOI URL BibTeX

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