2388 results
(BibTeX)

**Kernel Mean Estimation and Stein Effect**
In *Proceedings of the 31st International Conference on Machine Learning, W&CP 32 (1)*, pages: 10-18, (Editors: Eric P. Xing and Tony Jebara), JMLR, ICML, 2014 (inproceedings)

**Indirect Robot Model Learning for Tracking Control**
*Advanced Robotics*, 28(9):589-599, 2014 (article)

**An extended approach for spatiotemporal gapfilling: dealing with large and systematic gaps in geoscientific datasets**
*Nonlinear Processes in Geophysics*, 21(1):203-215, 2014 (article)

**On the Quantification Accuracy, Homogeneity, and Stability of Simultaneous Positron Emission Tomography/Magnetic Resonance Imaging Systems**
*Investigative Radiology*, 49(6):373-381, 2014 (article)

**Active Reward Learning**
In *Proceedings of Robotics: Science & Systems*, (Editors: Fox, D., Kavraki, LE., and Kurniawati, H.), RSS, 2014 (inproceedings)

**Multi-modal filtering for non-linear estimation**
In *Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing*, pages: 7979-7983, IEEE, ICASSP, 2014 (inproceedings)

**Natural Evolution Strategies**
*Journal of Machine Learning Research*, 15, pages: 949-980, 2014 (article)

**Higher-Order Tensors in Diffusion Imaging**
In *Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data*, pages: 129-161, Mathematics + Visualization, (Editors: Westin, C.-F., Vilanova, A. and Burgeth, B.), Springer, 2014 (inbook)

**Factors controlling decomposition rates of fine root litter in temperate forests and grasslands**
*Plant and Soil*, 2014 (article)

**Inferring latent structures via information inequalities **
In *Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence*, pages: 112-121, (Editors: NL Zhang and J Tian), AUAI Press, Corvallis, Oregon, UAI, 2014 (inproceedings)

**Causal Discovery with Continuous Additive Noise Models **
*Journal of Machine Learning Research*, 15, pages: 2009-2053, 2014 (article)

**Efficient Bayesian Local Model Learning for Control**
In *Proceedings of the IEEE International Conference on Intelligent Robots and Systems*, pages: 2244 - 2249, IROS, 2014, clmc (inproceedings)

**Fuzzy Fibers: Uncertainty in dMRI Tractography**
In *Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization*, pages: 79-92, 8, Mathematics + Visualization, (Editors: Hansen, C. D., Chen, M., Johnson, C. R., Kaufman, A. E. and Hagen, H.), Springer, 2014 (inbook)

**Cluster analysis of sharp-wave ripple field potential signatures in the macaque hippocampus**
Computational and Systems Neuroscience Meeting (COSYNE), 2014 (poster)

**A few extreme events dominate global interannual variability in gross primary production **
*Environmental Research Letters*, 9(3):035001, 2014 (article)

**Learning Strategies in Table Tennis using Inverse Reinforcement Learning**
*Biological Cybernetics*, 108(5):603-619, 2014 (article)

**Policy Search For Learning Robot Control Using Sparse Data**
In *Proceedings of 2014 IEEE International Conference on Robotics and Automation*, pages: 3882-3887, IEEE, ICRA, 2014 (inproceedings)

**Learning to Unscrew a Light Bulb from Demonstrations**
In *Proceedings for the joint conference of ISR 2014, 45th International Symposium on Robotics and Robotik 2014*, 2014 (inproceedings)

**Towards Neurofeedback Training of Associative Brain Areas for Stroke Rehabilitation**
In *Proceedings of the 6th International Brain-Computer Interface Conference*, (Editors: G Müller-Putz and G Bauernfeind and C Brunner and D Steyrl and S Wriessnegger and R Scherer), 2014 (inproceedings)

**Kernel methods in system identification, machine learning and function estimation: A survey**
*Automatica*, 50(3):657-682, 2014 (article)

**Development of a novel depth of interaction PET detector using highly multiplexed G-APD cross-strip encoding **
*Medical Physics*, 41(8), 2014 (article)

**Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature**
In *Advances in Neural Information Processing Systems 27*, pages: 2789-2797, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (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)

**Fragmentation of Slow Wave Sleep after Onset of Complete Locked-In State**
*Journal of Clinical Sleep Medicine*, 9(9):951-953, 2013 (article)

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

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

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

**Accurate detection of differential RNA processing**
*Nucleic Acids Research*, 41(10):5189-5198, 2013 (article)

**Detecting regulatory gene–environment interactions with unmeasured environmental factors**
*Bioinformatics*, 29(11):1382-1389, 2013 (article)

**im3shape: a maximum likelihood galaxy shear measurement code for cosmic gravitational lensing**
*Monthly Notices of the Royal Astronomical Society*, 434(2):1604-1618, Oxford University Press, 2013 (article)

**Maximizing Kepler science return per telemetered pixel: Detailed models of the focal plane in the two-wheel era**
*arXiv:1309.0653*, 2013 (techreport)

**Maximizing Kepler science return per telemetered pixel: Searching the habitable zones of the brightest stars**
*arXiv:1309.0654*, 2013 (techreport)

**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)

**Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik**
Springer, 2013 (book)

**On the Relations and Differences between Popper Dimension, Exclusion Dimension and VC-Dimension**
In *Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik*, pages: 53-57, 6, (Editors: Schölkopf, B., Luo, Z. and Vovk, V.), Springer, 2013 (inbook)

**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)

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

**Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising**
*Journal of Machine Learning Research*, 14, pages: 3207-3260, 2013 (article)

**Quasi-Newton Methods: A New Direction**
*Journal of Machine Learning Research*, 14(1):843-865, March 2013 (article)

**How the result of graph clustering methods depends on the construction of the graph**
*ESAIM: Probability & Statistics*, 17, pages: 370-418, January 2013 (article)

**What can neurons do for their brain? Communicate selectivity with bursts**
*Theory in Biosciences *, 132(1):27-39, Springer, March 2013 (article)

**Apprenticeship Learning with Few Examples**
*Neurocomputing*, 104, pages: 83-96, March 2013 (article)

**A neural population model for visual pattern detection**
*Psychological Review*, 120(3):472–496, 2013 (article)

**Feedback Error Learning for Rhythmic Motor Primitives**
In *Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA 2013)*, pages: 1317-1322, 2013 (inproceedings)

**Gaussian Process Vine Copulas for Multivariate Dependence**
In *Proceedings of the 30th International Conference on Machine Learning, W&CP 28(2)*, pages: 10-18, (Editors: S Dasgupta and D McAllester), JMLR, ICML, 2013, Poster:
http://people.tuebingen.mpg.de/dlopez/papers/icml2013_gpvine_poster.pdf (inproceedings)

**A Review of Performance Variations in SMR-Based Brain–Computer Interfaces (BCIs)**
In *Brain-Computer Interface Research*, pages: 39-51, 4, SpringerBriefs in Electrical and Computer Engineering, (Editors: Guger, C., Allison, B. Z. and Edlinger, G.), Springer, 2013 (inbook)

**The Randomized Dependence Coefficient**
In *Advances in Neural Information Processing Systems 26*, pages: 1-9, (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)

**On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit**
In *IEEE Conference on Computer Vision and Pattern Recognition*, pages: 1083-1090, IEEE, CVPR, 2013 (inproceedings)

**Output Kernel Learning Methods**
In *International Workshop on Advances in Regularization,
Optimization, Kernel Methods and Support Vector Machines: theory and applications*, ROKS, 2013 (inproceedings)