490 results
(View BibTeX file of all listed publications)

**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)

**Open-Box Spectral Clustering: Applications to Medical Image Analysis**
*IEEE Transactions on Visualization and Computer Graphics*, 19(12):2100-2108, 2013 (article)

**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)

**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)

**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)

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

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

**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)

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

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

**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)

**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)

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

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

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

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

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

Braun, D
**Structural learning**
*Scholarpedia*, 8(10):12312, October 2013 (article)

**The effect of model uncertainty on cooperation in sensorimotor interactions**
*Journal of the Royal Society Interface*, 10(87):1-11, October 2013 (article)

**Thermodynamics as a theory of decision-making with information-processing costs**
*Proceedings of the Royal Society of London A*, 469(2153):1-18, May 2013 (article)

**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)

**BCPy2000**
Workshop "Machine Learning Open-Source Software" at NIPS, December 2008 (talk)

**A Predictive Model for Imitation Learning in Partially Observable Environments**
In *ICMLA 2008*, pages: 83-90, (Editors: Wani, M. A., X.-W. Chen, D. Casasent, L. A. Kurgan, T. Hu, K. Hafeez), IEEE, Piscataway, NJ, USA, Seventh International Conference on Machine Learning and Applications, December 2008 (inproceedings)

**Stereo Matching for Calibrated Cameras without Correspondence**
In *CDC 2008*, pages: 2408-2413, IEEE Service Center, Piscataway, NJ, USA, 47th IEEE Conference on Decision and Control, December 2008 (inproceedings)

**Joint Kernel Support Estimation for Structured Prediction**
In *Proceedings of the NIPS 2008 Workshop on "Structured Input - Structured Output" (NIPS SISO 2008)*, pages: 1-4, NIPS Workshop on "Structured Input - Structured Output" (NIPS SISO), December 2008 (inproceedings)

**Metropolis Algorithms for Representative Subgraph Sampling**
In pages: 283-292, (Editors: Giannotti, F.), IEEE, Piscataway, NJ, USA, Eighth IEEE International Conference on Data Mining (ICDM '08) , December 2008 (inproceedings)

**Frequent Subgraph Retrieval in Geometric Graph Databases**
In *ICDM 2008*, pages: 953-958, (Editors: Giannotti, F. , D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu), IEEE Computer Society, Los Alamitos, CA, USA, 8th IEEE International Conference on Data Mining, December 2008 (inproceedings)

**Block Iterative Algorithms for Non-negative Matrix Approximation**
In *ICDM 2008*, pages: 1037-1042, (Editors: Giannotti, F. , D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu), IEEE Service Center, Piscataway, NJ, USA, Eighth IEEE International Conference on Data Mining, December 2008 (inproceedings)

**A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation**
In *ICMLA 2008*, pages: 3-9, (Editors: Wani, M. A., X.-W. Chen, D. Casasent, L. Kurgan, T. Hu, K. Hafeez), IEEE Computer Society, Los Alamitos, CA, USA, 7th International Conference on Machine Learning and Applications, December 2008 (inproceedings)

**Infinite Kernel Learning**
In *Proceedings of the NIPS 2008 Workshop on "Kernel Learning: Automatic Selection of Optimal Kernels"*, pages: 1-4, NIPS Workshop on "Kernel Learning: Automatic Selection of Optimal Kernels" (LK ASOK´08), December 2008 (inproceedings)

**Logistic Regression for Graph Classification**
NIPS Workshop on "Structured Input - Structured Output" (NIPS SISO), December 2008 (talk)

**Prediction-Directed Compression of POMDPs**
In *ICMLA 2008*, pages: 99-105, (Editors: Wani, M. A., X.-W. Chen, D. Casasent, L. A. Kurgan, T. Hu, K. Hafeez), IEEE, Piscataway, NJ, USA, Seventh International Conference on Machine Learning and Applications, December 2008 (inproceedings)

**New Projected Quasi-Newton Methods with Applications**
Microsoft Research Tech-talk, December 2008 (talk)

**Iterative Subgraph Mining for Principal Component Analysis**
In *ICDM 2008*, pages: 1007-1012, (Editors: Giannotti, F. , D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu), IEEE Computer Society, Los Alamitos, CA, USA, IEEE International Conference on Data Mining, December 2008 (inproceedings)

**Modelling contrast discrimination data suggest both the pedestal effect and stochastic resonance to be caused by the same mechanism**
*Journal of Vision*, 8(15):1-21, November 2008 (article)

**Frequent Subgraph Retrieval in Geometric Graph Databases**
(180), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)

**The Effect of Mutual Information on Independent Component Analysis in EEG/MEG Analysis: A Simulation Study**
*International Journal of Neuroscience*, 118(11):1534-1546, November 2008 (article)

**gBoost: A Mathematical Programming Approach to Graph Classification and Regression**
*Machine Learning*, 75(1):69-89, November 2008 (article)

**Variational Bayesian Model Selection in Linear Gaussian State-Space based Models**
*International Workshop on Flexible Modelling: Smoothing and Robustness (FMSR 2008)*, 2008, pages: 1, November 2008 (poster)