353 results
(View BibTeX file of all listed publications)

**Supervised Feature Selection via Dependence Estimation**
In *Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007)*, pages: 823-830, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, Twenty-Fourth Annual International Conference on Machine Learning (ICML), June 2007 (inproceedings)

**A Kernel-Based Causal Learning Algorithm**
In *Proceedings of the 24th International Conference on Machine Learning*, pages: 855-862, (Editors: Z Ghahramani), ACM Press, New York, NY, USA, ICML, June 2007 (inproceedings)

**Entire Regularization Paths for Graph Data**
In *ICML 2007*, pages: 919-926, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, 24th Annual International Conference on Machine Learning, June 2007 (inproceedings)

**Les Représentations Prédictives des États et des Politiques**
In *MFI 2007*, pages: 37-48, Quatrièmes Journées Francophones Modèles Formels de l‘Interaction, June 2007 (inproceedings)

**An Extensible Probabilistic Transformation-based Approach to the Third Recognizing Textual Entailment Challenge**
In *TextEntail 2007*, pages: 137-142, ACL-PASCAL Workshop on Textual Entailment and Paraphrasing, June 2007 (inproceedings)

**Weighted Substructure Mining for Image Analysis**
In *CVPR 2007*, pages: 1-8, IEEE Computer Society, Los Alamitos, CA, USA, 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2007 (inproceedings)

**Local Learning Projections**
In *Proceedings of the 24th International Conference on Machine Learning*, pages: 1039-1046, (Editors: Z Ghahramani), ACM Press, New York, NY, USA, ICML, June 2007 (inproceedings)

**Training and Approximation of a Primal Multiclass Support Vector Machine**
In *ASMDA 2007*, pages: 1-8, (Editors: Skiadas, C. H.), 12th International Conference on Applied Stochastic Models and Data Analysis, June 2007 (inproceedings)

**Nonlinear independent component analysis with minimum nonlinear distortion**
In *ICML ’07: Proceedings of the 24th international conference on Machine learning*, pages: 1127-1134, (Editors: Z Ghahramani), ACM, New York, NY, USA, 24th International Conference on Machine Learning (ICML), June 2007 (inproceedings)

**Information-theoretic Metric Learning**
In *ICML 2007*, pages: 209-216, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, 24th Annual International Conference on Machine Learning, June 2007 (inproceedings)

**A Dependence Maximization View of Clustering**
In *Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007)*, pages: 815-822, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, Twenty-Fourth Annual International Conference on Machine Learning (ICML), June 2007 (inproceedings)

**Multiclass Multiple Kernel Learning**
In *ICML 2007*, pages: 1191-1198, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, 24th International Conference on Machine Learning, June 2007 (inproceedings)

**Transductive Support Vector Machines for Structured Variables**
In *ICML 2007*, pages: 1183-1190, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, 24th International Conference on Machine Learning, June 2007 (inproceedings)

**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)

**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)

**Better Codes for the P300 Visual Speller**
*G{\"o}ttingen Meeting of the German Neuroscience Society*, 7, pages: 123, March 2007 (poster)

**Do We Know What the Early Visual System Computes?**
*31st G{\"o}ttingen Neurobiology Conference*, 31, pages: 352, March 2007 (poster)

**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)

**Implicit Wiener Series for Estimating Nonlinear Receptive Fields**
*31st G{\"o}ttingen Neurobiology Conference*, 31, pages: 1199, March 2007 (poster)

**3D Reconstruction of Neural Circuits from Serial EM Images**
*31st G{\"o}ttingen Neurobiology Conference*, 31, pages: 1195, March 2007 (poster)

**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)

**Identifying temporal population codes in the retina using canonical correlation analysis**
*31st G{\"o}ttingen Neurobiology Conference*, 31, pages: 359, March 2007 (poster)

**Bayesian Neural System identification: error bars, receptive fields and neural couplings**
*31st G{\"o}ttingen Neurobiology Conference*, 31, pages: 360, March 2007 (poster)

**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)

**About the Triangle Inequality in Perceptual Spaces**
*Proceedings of the Computational and Systems Neuroscience Meeting 2007 (COSYNE)*, 4, pages: 308, February 2007 (poster)

**Center-surround filters emerge from optimizing predictivity in a
free-viewing task**
*Proceedings of the Computational and Systems Neuroscience Meeting 2007 (COSYNE)*, 4, pages: 207, February 2007 (poster)

**Nonlinear Receptive Field Analysis: Making Kernel Methods Interpretable**
*Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007)*, 4, pages: 16, February 2007 (poster)

**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)

**Estimating Population Receptive Fields in Space and Time**
*Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007)*, 4, pages: 44, February 2007 (poster)

**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)