162 results
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**Domain Generalization via Invariant Feature Representation**
In *Proceedings of the 30th International Conference on Machine Learning, W&CP 28(1)*, pages: 10-18, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013, Volume 28, number 1 (inproceedings)

**Learning Sequential Motor Tasks**
In *Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013)*, 2013 (inproceedings)

**Modelling and Learning Approaches to Image Denoising**
Eberhard Karls Universität Tübingen, Germany, 2013 (phdthesis)

**Information-Theoretic Motor Skill Learning**
In *Proceedings of the 27th AAAI 2013, Workshop on Intelligent Robotic Systems (AAAI 2013)*, 2013 (inproceedings)

**Measuring Statistical Dependence via the Mutual Information Dimension**
In *Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013)*, pages: 1692-1698, (Editors: Francesca Rossi), AAAI Press, Menlo Park, California, IJCAI, 2013 (inproceedings)

**Analytical probabilistic proton dose calculation and range uncertainties**
In *17th International Conference on the Use of Computers in Radiation Therapy*, pages: 6-11, (Editors: A. Haworth and T. Kron), ICCR, 2013 (inproceedings)

**Adaptivity to Local Smoothness and Dimension in Kernel Regression**
In *Advances in Neural Information Processing Systems 26*, pages: 3075-3083, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators**
In *Advances in Neural Information Processing Systems 26*, pages: 2535-2543, (Editors: C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals**
In *Advances in Neural Information Processing Systems 26*, pages: 1466-1474, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Comparative Classifier Evaluation for Web-Scale Taxonomies Using Power Law**
In *The Semantic Web: ESWC 2013 Satellite Events, Lecture Notes in Computer Science, Vol. 7955 *, pages: 310-311, (Editors: P Cimiano and M Fernández and V Lopez and S Schlobach and J Völker), Springer, ESWC, 2013 (inproceedings)

**Model-based Imitation Learning by Probabilistic Trajectory Matching**
In *Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013)*, pages: 1922-1927, 2013 (inproceedings)

**Towards neurofeedback for improving visual attention**
In *Proceedings of the Fifth International Brain-Computer Interface Meeting: Defining the Future*, pages: Article ID: 086, (Editors: J.d.R. Millán, S. Gao, R. Müller-Putz, J.R. Wolpaw, and J.E. Huggins), Verlag der Technischen Universität Graz, 5th International Brain-Computer Interface Meeting, 2013, Article ID: 086 (inproceedings)

**A Guided Hybrid Genetic Algorithm for Feature Selection with Expensive Cost Functions**
In *Proceedings of the International Conference on Computational Science*, 18, pages: 2337 - 2346, Procedia Computer Science, (Editors: Alexandrov, V and Lees, M and Krzhizhanovskaya, V and Dongarra, J and Sloot, PMA), Elsevier, Amsterdam, Netherlands, ICCS, 2013 (inproceedings)

**Learning responsive robot behavior by imitation**
In *IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013)*, pages: 3257-3264, IEEE, 2013 (inproceedings)

**Learning Skills with Motor Primitives**
In *Proceedings of the 16th Yale Workshop on Adaptive and Learning Systems*, 2013 (inproceedings)

**Scalable Influence Estimation in Continuous-Time Diffusion Networks**
In *Advances in Neural Information Processing Systems 26*, pages: 3147-3155, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Rapid Distance-Based Outlier Detection via Sampling**
In *Advances in Neural Information Processing Systems 26*, pages: 467-475, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Probabilistic Movement Primitives**
In *Advances in Neural Information Processing Systems 26*, pages: 2616-2624, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Causal Inference on Time Series using Restricted Structural Equation Models**
In *Advances in Neural Information Processing Systems 26*, pages: 154-162, (Editors: C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Regression-tree Tuning in a Streaming Setting**
In *Advances in Neural Information Processing Systems 26*, pages: 1788-1796, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Density estimation from unweighted k-nearest neighbor graphs: a roadmap**
In *Advances in Neural Information Processing Systems 26*, pages: 225-233, (Editors: C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**PAC-Bayes-Empirical-Bernstein Inequality**
In *Advances in Neural Information Processing Systems 26*, pages: 109-117, (Editors: C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger), 27th Annual Conference on Neural Information Processing Systems (NIPS), 2013 (inproceedings)

**Linear mixed models for genome-wide association studies**
University of Tübingen, Germany, 2013 (phdthesis)

**PLAL: Cluster-based active learning**
In *Proceedings of the 26th Annual Conference on Learning Theory*, 30, pages: 376-397, (Editors: Shalev-Shwartz, S. and Steinwart, I.), JMLR, COLT, 2013 (inproceedings)

**Monochromatic Bi-Clustering**
In *Proceedings of the 30th International Conference on Machine Learning*, 28, pages: 145-153, (Editors: Dasgupta, S. and McAllester, D.), JMLR, ICML, 2013 (inproceedings)

**Significance of variable height-bandwidth group delay filters in the spectral reconstruction of speech**
*INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association*, pages: 1682-1686, 2013 (conference)

**Generative Multiple-Instance Learning Models For Quantitative Electromyography**
In *Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence*, AUAI Press, UAI, 2013 (inproceedings)

**Modeling and Learning Complex Motor Tasks: A case study on Robot Table Tennis**
Technical University Darmstadt, Germany, 2013 (phdthesis)

**Automatic Malaria Diagnosis system**
In *First RSI/ISM International Conference on Robotics and Mechatronics (ICRoM)*, pages: 205-211, 2013 (inproceedings)

**Intention Inference and Decision Making with Hierarchical Gaussian Process Dynamics Models**
Technical University Darmstadt, Germany, 2013 (phdthesis)

**Abstraction in Decision-Makers with Limited Information Processing Capabilities**
pages: 1-9, NIPS Workshop Planning with Information Constraints for Control, Reinforcement Learning, Computational Neuroscience, Robotics and Games, December 2013 (conference)

**Bounded Rational Decision-Making in Changing Environments**
pages: 1-9, NIPS Workshop Planning with Information Constraints for Control, Reinforcement Learning, Computational Neuroscience, Robotics and Games, December 2013 (conference)

**Gender Classification of Human Faces**
In *Biologically Motivated Computer Vision*, pages: 1-18, (Editors: Bülthoff, H. H., S.W. Lee, T. A. Poggio and C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV), November 2002 (inproceedings)

**Insect-Inspired Estimation of Self-Motion**
In *Biologically Motivated Computer Vision*, (2525):171-180, LNCS, (Editors: Bülthoff, H.H. , S.W. Lee, T.A. Poggio, C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV), November 2002 (inproceedings)

**Combining sensory Information to Improve Visualization**
In *Proceedings of the Conference on Visualization ‘02 (VIS ‘02)*, pages: 571-574, (Editors: Moorhead, R. , M. Joy), IEEE, Piscataway, NJ, USA, IEEE Conference on Visualization (VIS '02), October 2002 (inproceedings)

**Sampling Techniques for Kernel Methods **
In *Advances in neural information processing systems 14 *, pages: 335-342, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**The Infinite Hidden Markov Model**
In *Advances in Neural Information Processing Systems 14*, pages: 577-584, (Editors: Dietterich, T.G. , S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**A new discriminative kernel from probabilistic models**
In *Advances in Neural Information Processing Systems 14*, pages: 977-984, (Editors: Dietterich, T.G. , S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Incorporating Invariances in Non-Linear Support Vector Machines **
In *Advances in Neural Information Processing Systems 14*, pages: 609-616, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Kernel feature spaces and nonlinear blind source separation**
In *Advances in Neural Information Processing Systems 14*, pages: 761-768, (Editors: Dietterich, T. G., S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Algorithms for Learning Function Distinguishable Regular Languages**
In *Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition*, pages: 64-73, (Editors: Caelli, T. , A. Amin, R. P.W. Duin, M. Kamel, D. de Ridder), Springer, Berlin, Germany, Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, August 2002 (inproceedings)

**Decision Boundary Pattern Selection for Support Vector Machines**
In *Proc. of the Korean Data Mining Conference*, pages: 33-41, Korean Data Mining Conference, May 2002 (inproceedings)

**k-NN based Pattern Selection for Support Vector Classifiers**
In *Proc. of the Korean Industrial Engineers Conference*, pages: 645-651, Korean Industrial Engineers Conference, May 2002 (inproceedings)

**Microarrays: How Many Do You Need?**
In *RECOMB 2002*, pages: 321-330, ACM Press, New York, NY, USA, Sixth Annual International Conference on Research in Computational Molecular Biology, April 2002 (inproceedings)

**Nonlinear Multivariate Analysis with Geodesic Kernels**
Biologische Kybernetik, Technische Universität Berlin, February 2002 (diplomathesis)

**Pattern Selection for Support Vector Classifiers**
In *Ideal 2002*, pages: 97-103, (Editors: Yin, H. , N. Allinson, R. Freeman, J. Keane, S. Hubbard), Springer, Berlin, Germany, Third International Conference on Intelligent Data Engineering and Automated Learning, January 2002 (inproceedings)

**The leave-one-out kernel**
In *Artificial Neural Networks -- ICANN 2002*, 2415, pages: 727-732, LNCS, (Editors: Dorronsoro, J. R.), Artificial Neural Networks -- ICANN, 2002 (inproceedings)

**Concentration Inequalities and Empirical Processes Theory Applied to the Analysis of Learning Algorithms**
Biologische Kybernetik, Ecole Polytechnique, 2002 (phdthesis) Accepted

**Support Vector Machines: Induction Principle, Adaptive Tuning and Prior Knowledge**
Biologische Kybernetik, 2002 (phdthesis)

**Localized Rademacher Complexities**
In *Proceedings of the 15th annual conference on Computational Learning Theory*, pages: 44-58, Proceedings of the 15th annual conference on Computational Learning Theory, 2002 (inproceedings)