583 results
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**Joint Genetic Analysis of Gene Expression Data with Inferred Cellular Phenotypes**
*PLoS Genetics*, 7(1):1-10, January 2011 (article)

**A Non-Parametric Approach to Dynamic Programming**
In *Advances in Neural Information Processing Systems 24*, pages: 1719-1727, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Reinforcement Learning with Bounded Information Loss**
*AIP Conference Proceedings*, 1305(1):365-372, 2011 (article)

**Transfer Learning with Copulas**
In pages: 2, NIPS, Workshop on Copulas in Machine Learning, 2011 (inproceedings)

**Denoising sparse noise via online dictionary learning**
In *Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011*, pages: 2060 -2063, IEEE, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2011 (inproceedings)

**PILCO: A Model-Based and Data-Efficient Approach to Policy Search**
In *Proceedings of the 28th International Conference on Machine Learning, ICML 2011*, pages: 465-472, (Editors: L Getoor and T Scheffer), Omnipress, 2011 (inproceedings)

**Kernel Bayes’ Rule**
In *Advances in Neural Information Processing Systems 24*, pages: 1737-1745, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Optimal Reinforcement Learning for Gaussian Systems**
In *Advances in Neural Information Processing Systems 24*, pages: 325-333, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Efficient inference in matrix-variate Gaussian models with iid observation noise**
In *Advances in Neural Information Processing Systems 24*, pages: 630-638, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Expectation Propagation for the Estimation of Conditional Bivariate Copulas**
In pages: 2, NIPS, Workshop on Copulas in Machine Learning, 2011 (inproceedings)

**Efficient Similarity Search for Covariance Matrices via the Jensen-Bregman LogDet Divergence**
In *IEEE International Conference on Computer Vision, ICCV 2011*, pages: 2399-2406, (Editors: DN Metaxas and L Quan and A Sanfeliu and LJ Van Gool), IEEE, 13th International Conference on Computer Vision (ICCV), 2011 (inproceedings)

**Introducing the detection of auditory error responses based on BCI technology for passive interaction**
In *Proceedings of the 5th International Brain–Computer Interface Conference*, pages: 252-255, (Editors: GR Müller-Putz and R Scherer and M Billinger and A Kreilinger and V Kaiser and C Neuper), Graz: Verlag der Technischen Universität, 2011 (inproceedings)

**Generalized Dictionary Learning for Symmetric Positive Definite Matrices with Application to Nearest Neighbor Retrieval**
In *Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, LNCS vol 6913, Part III*, pages: 318-332, (Editors: D Gunopulos and T Hofmann and D Malerba and M Vazirgiannis), Springer, 22th European Conference on Machine Learning (ECML), 2011 (inproceedings)

**Restricted boltzmann machines as useful tool for detecting oscillatory eeg components**
In *Proceedings of the 5th International Brain–Computer Interface Conference*, pages: 68-71, (Editors: GR Müller-Putz and R Scherer and M Billinger and A Kkreilinger and V Kaiser and C Neuper), Graz: Verlag der Technischen Universität, 2011 (inproceedings)

**Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation**
In *Advances in Neural Information Processing Systems 24*, pages: 2690-2698, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and FCN Pereira and KQ Weinberger), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Phase transition in the family of p-resistances**
In *Advances in Neural Information Processing Systems 24*, pages: 379-387, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**On Fast Approximate Submodular Minimization**
In *Advances in Neural Information Processing Systems 24*, pages: 460-468, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**PAC-Bayesian Analysis of Contextual Bandits **
In *Advances in Neural Information Processing Systems 24*, pages: 1683-1691, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Fast projections onto L1,q-norm balls for grouped feature selection**
In *Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, LNCS vol 6913, Part III*, pages: 305-317, (Editors: D Gunopulos and T Hofmann and D Malerba and M Vazirgiannis), Springer, 22th European Conference on Machine Learning (ECML), 2011 (inproceedings)

**Kernel Belief Propagation**
In *Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Vol. 15*, pages: 707-715, (Editors: G Gordon and D Dunson and M Dudík), JMLR, AISTATS, 2011 (inproceedings)

**On Causal Discovery with Cyclic Additive Noise Models**
In *Advances in Neural Information Processing Systems 24*, pages: 639-647, (Editors: J Shawe-Taylor and RS Zemel and PL Bartlett and FCN Pereira and KQ Weinberger), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Additive Gaussian Processes**
In *Advances in Neural Information Processing Systems 24*, pages: 226-234, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**k-NN Regression Adapts to Local Intrinsic Dimension**
In *Advances in Neural Information Processing Systems 24*, pages: 729-737, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Fast Newton-type Methods for Total-Variation with Applications**
In *Proceedings of the 28th International Conference on Machine Learning, ICML 2011*, pages: 313-320, (Editors: L Getoor and T Scheffer), Omnipress, 28th International Conference on Machine Learning (ICML), 2011 (inproceedings)

**Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees **
In *Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Vol. 15*, pages: 324-332, (Editors: G Gordon and D Dunson and M Dudík), JMLR, AISTATS, 2011 (inproceedings)

**Access to Unlabeled Data can Speed up Prediction Time**
In *Proceedings of the 28th International Conference on Machine Learning*, pages: 641-648, ICML, 2011 (inproceedings)

**Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance**
In *Advances in Neural Information Processing Systems 24*, pages: 765-773, (Editors: Shawe-Taylor, John and Zemel, Richard S. and Bartlett, Peter L. and Pereira, Fernando C. N. and Weinberger, Kilian Q.), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Efficient Subwindow Search: A Branch and Bound Framework for Object Localization**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 31(12):2129-2142, December 2009 (article)

**A computational model of human table tennis for robot application**
In *AMS 2009*, pages: 57-64, (Editors: Dillmann, R. , J. Beyerer, C. Stiller, M. Zöllner, T. Gindele), Springer, Berlin, Germany, Autonome Mobile Systeme, December 2009 (inproceedings)

**A second order sliding mode controller with polygonal constraints**
In pages: 6715-6719, IEEE, Piscataway, NJ, USA, 48th IEEE Conference on Decision and Control (CDC), December 2009 (inproceedings)

**Generation of three-dimensional random rotations in fitting and matching problems**
*Computational Statistics*, 24(4):719-731, December 2009 (article)

**Adaptive Importance Sampling for Value Function Approximation in Off-policy Reinforcement Learning**
*Neural Networks*, 22(10):1399-1410, December 2009 (article)

**A PAC-Bayesian Approach to Formulation of Clustering Objectives**
In *Proceedings of the NIPS 2009 Workshop "Clustering: Science or Art? Towards Principled Approaches"*, pages: 1-4, NIPS Workshop "Clustering: Science or Art? Towards Principled Approaches", December 2009 (inproceedings)

**Notes on Graph Cuts with Submodular Edge Weights**
In pages: 1-6, NIPS Workshop on Discrete Optimization in Machine Learning: Submodularity, Sparsity & Polyhedra (DISCML), December 2009 (inproceedings)

**Guest editorial: special issue on structured prediction**
*Machine Learning*, 77(2-3):161-164, December 2009 (article)

**Structured prediction by joint kernel support estimation**
*Machine Learning*, 77(2-3):249-269, December 2009 (article)

**Learning new basic Movements for Robotics**
In *AMS 2009*, pages: 105-112, (Editors: Dillmann, R. , J. Beyerer, C. Stiller, M. Zöllner, T. Gindele), Springer, Berlin, Germany, Autonome Mobile Systeme, December 2009 (inproceedings)

**From Motor Learning to Interaction Learning in Robots**
In *Proceedings of 7ème Journées Nationales de la Recherche en Robotique*, pages: 189-195, JNRR, November 2009 (inproceedings)

**A note on ethical aspects of BCI**
*Neural Networks*, 22(9):1352-1357, November 2009 (article)

**Model Learning with Local Gaussian Process Regression**
*Advanced Robotics*, 23(15):2015-2034, November 2009 (article)

**Detecting Objects in Large Image Collections and Videos by Efficient Subimage Retrieval**
In *ICCV 2009*, pages: 987-994, IEEE Computer Society, Piscataway, NJ, USA, Twelfth IEEE International Conference on Computer Vision, October 2009 (inproceedings)

**Inferring textual entailment with a probabilistically sound calculus**
*Natural Language Engineering*, 15(4):459-477, October 2009 (article)

**Modeling and Visualizing Uncertainty in Gene Expression Clusters using Dirichlet Process Mixtures**
*IEEE/ACM Transactions on Computational Biology and Bioinformatics*, 6(4):615-628, October 2009 (article)

**A new non-monotonic algorithm for PET image reconstruction**
In *IEEE - Nuclear Science Symposium Conference Record (NSS/MIC)*, 2009, pages: 2500-2502, (Editors: B Yu), IEEE, Piscataway, NJ, USA, IEEE Nuclear Science Symposium and Medical Imaging Conference, October 2009 (inproceedings)

**Approximation Algorithms for Tensor Clustering**
In *Algorithmic Learning Theory: 20th International Conference*, pages: 368-383, (Editors: Gavalda, R. , G. Lugosi, T. Zeugmann, S. Zilles), Springer, Berlin, Germany, ALT, October 2009 (inproceedings)

**Active learning using mean shift optimization for robot grasping**
In *Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009)*, pages: 2610-2615, IEEE Service Center, Piscataway, NJ, USA, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2009 (inproceedings)

**Sparse online model learning for robot control with support vector regression**
In *Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009)*, pages: 3121-3126, IEEE Service Center, Piscataway, NJ, USA, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2009 (inproceedings)

**Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective **
In *Machine Learning and Knowledge Discovery in Databases*, pages: 570-585, (Editors: Buntine, W. , M. Grobelnik, D. Mladenić, J. Shawe-Taylor ), Springer, Berlin, Germany, European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (ECML PKDD '09), September 2009 (inproceedings)

**Thermodynamic efficiency of information and heat flow**
*Journal of Statistical Mechanics: Theory and Experiment*, 2009(09):P09011, September 2009 (article)

**Does Cognitive Science Need Kernels?**
*Trends in Cognitive Sciences*, 13(9):381-388, September 2009 (article)