405 results
(View BibTeX file of all listed publications)

**Competition and Coordination in Stochastic Games**
In *Canadian AI 2007*, pages: 26-37, (Editors: Kobti, Z. , D. Wu), Springer, Berlin, Germany, 20th Conference of the Canadian Society for Computational Studies of Intelligence, May 2007 (inproceedings)

**Impact of target-to-target interval on classification performance in the P300 speller**
Scientific Meeting "Applied Neuroscience for Healthy Brain Function", May 2007 (talk)

Peters, J.
**Benchmarking of Policy Gradient Methods**
ADPRL Workshop, April 2007 (talk)

**Change-Point Detection using Krylov Subspace Learning**
In *SDM 2007*, pages: 515-520, (Editors: Apte, C. ), Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA, SIAM International Conference on Data Mining, April 2007 (inproceedings)

**A Bayesian Approach to Nonlinear Parameter
Identification for Rigid Body Dynamics**
In *RSS 2006*, pages: 247-254, (Editors: Sukhatme, G. S., S. Schaal, W. Burgard, D. Fox), MIT Press, Cambridge, MA, USA, Robotics: Science and Systems II (RSS ), April 2007 (inproceedings)

**Learning causality by identifying common effects with kernel-based dependence measures**
In *ESANN 2007*, pages: 453-458, D-Side, Evere, Belgium, 15th European Symposium on Artificial Neural Networks, April 2007 (inproceedings)

**Exploring the causal order of binary variables via exponential hierarchies of Markov kernels**
In *ESANN 2007*, pages: 465-470, D-Side, Evere, Belgium, 15th European Symposium on Artificial Neural Networks, April 2007 (inproceedings)

**Applying the Episodic Natural Actor-Critic
Architecture to Motor Primitive Learning**
In *Proceedings of the 15th European Symposium on Artificial Neural Networks (ESANN 2007)*, pages: 295-300, D-Side, Evere, Belgium, 15th European Symposium on Artificial Neural Networks (ESANN), April 2007 (inproceedings)

**Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem**
In *SDM 2007*, pages: 343-354, (Editors: Apte, C. ), Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA, SIAM International Conference on Data Mining, April 2007 (inproceedings)

**Distinguishing Between Cause and Effect via Kernel-Based Complexity Measures for Conditional Distributions**
In *Proceedings of the 15th European Symposium on Artificial Neural Networks
*, pages: 441-446, (Editors: M Verleysen), D-Side Publications, Evere, Belgium, ESANN, April 2007 (inproceedings)

**Deterministic Annealing for
Multiple-Instance Learning**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 123-130, (Editors: Meila, M. , X. Shen), MIT Press, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**Bayesian Inference and Optimal Design in the Sparse Linear Model**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 444-451, (Editors: Meila, M. , X. Shen), JMLR, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**Stick-breaking Construction for the Indian Buffet Process**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 556-563, (Editors: Meila, M. , X. Shen), MIT Press, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**Fast Kernel ICA using an Approximate Newton Method**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 476-483, (Editors: Meila, M. , X. Shen), MIT Press, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**Transductive Classification via Local Learning Regularization**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 628-635, (Editors: M Meila and X Shen), 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**The Independent Components of Natural Images are Perceptually Dependent**
In *Human Vision and Electronic Imaging XII*, pages: 1-12, (Editors: Rogowitz, B. E.), SPIE, Bellingham, WA, USA, SPIE Human Vision and Electronic Imaging Conference, February 2007 (inproceedings)

**Unsupervised learning of a steerable basis for invariant image representations**
In *Human Vision and Electronic Imaging XII*, pages: 1-12, (Editors: Rogowitz, B. E.), SPIE, Bellingham, WA, USA, SPIE Human Vision and Electronic Imaging Conference, February 2007 (inproceedings)

**New Margin- and Evidence-Based Approaches for EEG Signal Classification**
Invited talk at the FaSor Jahressymposium, February 2007 (talk)

**A Subspace Kernel for Nonlinear Feature Extraction**
In *IJCAI-07*, pages: 1125-1130, (Editors: Veloso, M. M.), AAAI Press, Menlo Park, CA, USA, International Joint Conference on Artificial Intelligence, January 2007 (inproceedings)

**Graph kernels for disease outcome prediction from protein-protein interaction networks**
In pages: 4-15, (Editors: Altman, R.B. A.K. Dunker, L. Hunter, T. Murray, T.E. Klein), World Scientific, Hackensack, NJ, USA, Pacific Symposium on Biocomputing (PSB), January 2007 (inproceedings)

**Independent Factor Reinforcement Learning for Portfolio Management**
In *Proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2007)*, pages: 1020-1031, (Editors: H Yin and P Tiño and E Corchado and W Byrne and X Yao), Springer, Berlin, Germany, 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), 2007 (inproceedings)

**Kernel-Based Nonlinear Independent Component Analysis**
In *Independent Component Analysis and Signal Separation, 7th International Conference, ICA 2007*, pages: 301-308, (Editors: M E Davies and C J James and S A Abdallah and M D Plumbley), Springer, 7th International Conference on Independent Component Analysis and Signal Separation (ICA), 2007, Lecture Notes in Computer Science, Vol. 4666 (inproceedings)

**Towards Machine Learning of Motor Skills**
In *Proceedings of Autonome Mobile Systeme (AMS)*, pages: 138-144, (Editors: K Berns and T Luksch), 2007, clmc (inproceedings)

**Reinforcement Learning for Optimal Control of Arm Movements**
In *Abstracts of the 37st Meeting of the Society of Neuroscience.*, Neuroscience, 2007, clmc (inproceedings)

**Reinforcement learning by reward-weighted regression for operational space control**
In *Proceedings of the 24th Annual International Conference on Machine Learning*, pages: 745-750, ICML, 2007, clmc (inproceedings)

**Policy gradient methods for machine learning**
In *Proceedings of the 14th INFORMS Conference of the Applied Probability Society*, pages: 97-98, Eindhoven, Netherlands, July 9-11, 2007, 2007, clmc (inproceedings)

**Policy Learning for Motor Skills**
In *Proceedings of 14th International Conference on Neural Information Processing (ICONIP)*, pages: 233-242, (Editors: Ishikawa, M. , K. Doya, H. Miyamoto, T. Yamakawa), 2007, clmc (inproceedings)

**Reinforcement learning for operational space control**
In *Proceedings of the 2007 IEEE International Conference on Robotics and Automation*, pages: 2111-2116, IEEE Computer Society, ICRA, 2007, clmc (inproceedings)

**Using reward-weighted regression for reinforcement learning of task space control**
In *Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning*, pages: 262-267, Honolulu, Hawaii, April 1-5, 2007, 2007, clmc (inproceedings)

**Evaluation of Policy Gradient Methods and Variants on the Cart-Pole Benchmark**
In *Proceedings of the 2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning*, pages: 254-261, ADPRL, 2007, clmc (inproceedings)

**Global Biclustering of Microarray Data**
In *ICDMW 2006*, pages: 125-129, (Editors: Tsumoto, S. , C. W. Clifton, N. Zhong, X. Wu, J. Liu, B. W. Wah, Y.-M. Cheung), IEEE Computer Society, Los Alamitos, CA, USA, Sixth IEEE International Conference on Data Mining, December 2006 (inproceedings)

**Conformal Multi-Instance Kernels**
In *NIPS 2006 Workshop on Learning to Compare Examples*, pages: 1-6, NIPS Workshop on Learning to Compare Examples, December 2006 (inproceedings)

**A Kernel Method for the Two-Sample-Problem**
20th Annual Conference on Neural Information Processing Systems (NIPS), December 2006 (talk)

**Ab-initio gene finding using machine learning**
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)

**Reinforcement Learning by Reward-Weighted Regression**
NIPS Workshop: Towards a New Reinforcement Learning? , December 2006 (talk)

**Graph boosting for molecular QSAR analysis**
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)

**Inferring Causal Directions by Evaluating the Complexity of Conditional Distributions**
NIPS Workshop on Causality and Feature Selection, December 2006 (talk)

**Information-theoretic Metric Learning**
In *NIPS 2006 Workshop on Learning to Compare Examples*, pages: 1-5, NIPS Workshop on Learning to Compare Examples, December 2006 (inproceedings)

**Pattern Mining in Frequent Dynamic Subgraphs**
In pages: 818-822, (Editors: Clifton, C.W.), IEEE Computer Society, Los Alamitos, CA, USA, Sixth International Conference on Data Mining (ICDM), December 2006 (inproceedings)

**Learning Optimal EEG Features Across Time, Frequency and Space**
NIPS Workshop on Current Trends in Brain-Computer Interfacing, December 2006 (talk)

**Semi-Supervised Learning**
Advanced Methods in Sequence Analysis Lectures, November 2006 (talk)

**3DString: a feature string kernel for 3D object classification on voxelized data**
In pages: 198-207, (Editors: Yu, P.S. , V.J. Tsotras, E.A. Fox, B. Liu), ACM Press, New York, NY, USA, 15th ACM International Conference on Information and Knowledge Management (CIKM), November 2006 (inproceedings)

**Adapting Spatial Filter Methods for Nonstationary BCIs**
In *IBIS 2006*, pages: 65-70, 2006 Workshop on Information-Based Induction Sciences, November 2006 (inproceedings)

**A Machine Learning Approach for Determining the PET Attenuation Map from Magnetic Resonance Images**
IEEE Medical Imaging Conference, November 2006 (talk)

**Semi-Supervised Support Vector Machines and Application to Spam Filtering**
ECML Discovery Challenge Workshop, September 2006 (talk)

**A Linear Programming Approach for Molecular QSAR analysis**
In *MLG 2006*, pages: 85-96, (Editors: Gärtner, T. , G. C. Garriga, T. Meinl), International Workshop on Mining and Learning with Graphs, September 2006, Best Paper Award (inproceedings)

**Incremental Aspect Models for Mining Document Streams**
In *PKDD 2006*, pages: 633-640, (Editors: Fürnkranz, J. , T. Scheffer, M. Spiliopoulou), Springer, Berlin, Germany, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, September 2006 (inproceedings)

**PALMA: Perfect Alignments using Large Margin Algorithms**
In *GCB 2006*, pages: 104-113, (Editors: Huson, D. , O. Kohlbacher, A. Lupas, K. Nieselt, A. Zell), Gesellschaft für Informatik, Bonn, Germany, German Conference on Bioinformatics, September 2006 (inproceedings)

**Graph Based Semi-Supervised Learning with Sharper Edges**
In *ECML 2006*, pages: 401-412, (Editors: Fürnkranz, J. , T. Scheffer, M. Spiliopoulou), Springer, Berlin, Germany, 17th European Conference on Machine Learning (ECML), September 2006 (inproceedings)

**Robust MEG Source Localization of Event Related Potentials: Identifying Relevant Sources by Non-Gaussianity**
In *DAGM 2006*, pages: 394-403, (Editors: Franke, K. , K.-R. Müller, B. Nickolay, R. Schäfer), Springer, Berlin, Germany, 28th Annual Symposium of the German Association for Pattern Recognition, September 2006 (inproceedings)