310 results
(View BibTeX file of all listed publications)

**Discovering Common Sequence Variation in
Arabidopsis thaliana**
16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB), July 2008 (talk)

**A Novel Approach to the Selection of Robust and Invariant Features for Classification of Hyperspectral Images **
In pages: I-66-I-69 , IEEE, Piscataway, NJ, USA, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 2008 (inproceedings)

**The skew spectrum of graphs**
In pages: 496-503, (Editors: Cohen, W.W. , A. McCallum, S.T. Roweis), ACM Press, New York, NY, USA, Twenty-Fifth International Conference on Machine Learning (ICML), July 2008 (inproceedings)

**Relating clustering stability to properties of cluster boundaries**
In *COLT 2008*, pages: 379-390, (Editors: Servedio, R. A., T. Zhang), Omnipress, Madison, WI, USA, 21st Annual Conference on Learning Theory, July 2008 (inproceedings)

**Coding Theory in Brain-Computer Interfaces**
Soria Summerschool on Computational Mathematics "Algebraic Coding Theory" (S3CM), July 2008 (talk)

**Compressed Sensing and Bayesian Experimental Design**
In *ICML 2008*, pages: 912-919, (Editors: Cohen, W. W., A. McCallum, S. Roweis), ACM Press, New York, NY, USA, 25th International Conference on Machine Learning, July 2008 (inproceedings)

**Tailoring density estimation via reproducing kernel moment matching**
In *Proceedings of the 25th International Conference onMachine Learning*, pages: 992-999, (Editors: WW Cohen and A McCallum and S Roweis), ACM Press, New York, NY, USA, ICML, July 2008 (inproceedings)

**Injective Hilbert Space Embeddings of Probability Measures**
In *Proceedings of the 21st Annual Conference on Learning Theory*, pages: 111-122, (Editors: RA Servedio and T Zhang), Omnipress, Madison, WI, USA, 21st Annual Conference on Learning Theory (COLT), July 2008 (inproceedings)

**Motor Skill Learning for Cognitive Robotics**
6th International Cognitive Robotics Workshop (CogRob), July 2008 (talk)

**A Hilbert-Schmidt Dependence Maximization Approach to Unsupervised Structure Discovery**
In *MLG 2008*, pages: 1-3, 6th International Workshop on Mining and Learning with Graphs, July 2008 (inproceedings)

**Painless Embeddings of Distributions: the Function Space View (Part 1)**
25th International Conference on Machine Learning (ICML), July 2008 (talk)

**Reinforcement Learning for Robotics**
8th European Workshop on Reinforcement Learning for Robotics (EWRL), July 2008 (talk)

**Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation**
In *AAAI 2008*, pages: 1351-1356, (Editors: Fox, D. , C. P. Gomes), AAAI Press, Menlo Park, CA, USA, Twenty-Third Conference on Artificial Intelligence, July 2008 (inproceedings)

**Sparse Multiscale Gaussian Process Regression**
In *Proceedings of the 25th International Conference on Machine Learning*, pages: 1112-1119, (Editors: WW Cohen and A McCallum and S Roweis), ACM Press, New York, NY, USA, ICML, July 2008 (inproceedings)

**Example-Based Learning for Single-Image Super-Resolution**
In *DAGM 2008*, pages: 456-463, (Editors: Rigoll, G. ), Springer, Berlin, Germany, 30th Annual Symposium of the German Association for Pattern Recognition, June 2008 (inproceedings)

**A Multiple Kernel Learning Approach to Joint Multi-Class Object Detection**
In *DAGM 2008*, pages: 31-40, (Editors: Rigoll, G. ), Springer, Berlin, Germany, 30th Annual Symposium of the German Association for Pattern Recognition, June 2008, Main Award DAGM 2008 (inproceedings)

**Natural Evolution Strategies**
In *CEC 2008*, pages: 3381-3387, IEEE, Piscataway, NJ, USA, IEEE Congress on Evolutionary Computation, June 2008 (inproceedings)

**Multi-Classification by Categorical Features via Clustering**
25th International Conference on Machine Learning (ICML), June 2008 (talk)

**Partitioning of Image Datasets using Discriminative Context Information**
In *CVPR 2008*, pages: 1-8, IEEE Computer Society, Los Alamitos, CA, USA, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2008 (inproceedings)

**Bayesian online multi-task learning using regularization networks**
In pages: 4517-4522, IEEE Service Center, Piscataway, NJ, USA, 2008 American Control Conference (ACC), June 2008 (inproceedings)

**Correlational Spectral Clustering**
In *CVPR 2008*, pages: 1-8, IEEE Computer Society, Los Alamitos, CA, USA, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2008 (inproceedings)

**Approximate Dynamic Programming with Gaussian Processes**
In *ACC 2008*, pages: 4480-4485, IEEE Service Center, Piscataway, NJ, USA, 2008 American Control Conference, June 2008 (inproceedings)

**Beyond Sliding Windows: Object Localization by Efficient Subwindow Search**
In *CVPR 2008*, pages: 1-8, IEEE Computer Society, Los Alamitos, CA, USA, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2008, Best paper award (inproceedings)

**Computed Torque Control with Nonparametric Regression Models**
In *ACC 2008*, pages: 212-217, IEEE Service Center, Piscataway, NJ, USA, 2008 American Control Conference, June 2008 (inproceedings)

**Multi-Classification by Categorical Features via Clustering**
In *In the proceedings of the 25th International Conference on Machine Learning (ICML 2008)*, pages: 920-927, 25th International Conference on Machine Learning (ICML), June 2008 (inproceedings)

**A Kernel Test of Nonlinear Granger Causality**
In *Proceedings of the Workshop on Inference and Estimation in Probabilistic Time-Series Models*, pages: 79-89, (Editors: Barber, D. , A. T. Cemgil, S. Chiappa), Isaac Newton Institute for Mathematical Sciences, Cambridge, United Kingdom, Workshop on Inference and Estimation in Probabilistic Time-Series Models, June 2008 (inproceedings)

**Thin-Plate Splines Between Riemannian Manifolds**
Workshop on Geometry and Statistics of Shapes, June 2008 (talk)

**Bayesian Color Constancy Revisited**
In *IEEE Computer Society Conference on Computer Vision and Pattern Recognition*, CVPR, June 2008, http://dx.doi.org/10.1109/CVPR.2008.4587765 (inproceedings)

**Real-time Learning of Resolved
Velocity Control on a Mitsubishi PA-10**
In *ICRA 2008*, pages: 2872-2877, IEEE Service Center, Piscataway, NJ, USA, 2008 IEEE International Conference on Robotics and Automation, May 2008 (inproceedings)

**State Space Compression with Predictive Representations**
In *Flairs 2008*, pages: 41-46, (Editors: Wilson, D. C., H. C. Lane), AAAI Press, Menlo Park, CA, USA, 21st International Florida Artificial Intelligence Research Society Conference, May 2008 (inproceedings)

**Learning resolved velocity control**
2008 IEEE International Conference on Robotics and Automation (ICRA), May 2008 (talk)

**Bayesian methods for protein structure determination**
Machine Learning in Structural Bioinformatics, April 2008 (talk)

**Graph Mining with Variational Dirichlet Process Mixture Models**
In *SDM 2008*, pages: 432-442, (Editors: Zaki, M. J.), Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 8th SIAM International Conference on Data Mining, April 2008 (inproceedings)

**Model-Based Reinforcement Learning with Continuous States and Actions**
In *ESANN 2008*, pages: 19-24, (Editors: Verleysen, M. ), d-side, Evere, Belgium, European Symposium on Artificial Neural Networks, April 2008 (inproceedings)

**Learning Inverse Dynamics: A Comparison**
In *Advances in Computational Intelligence and Learning: Proceedings of the European Symposium on Artificial Neural Networks*, pages: 13-18, (Editors: M Verleysen), d-side, Evere, Belgium, 16th European Symposium on Artificial Neural Networks (ESANN), April 2008 (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)