275 results
(View BibTeX file of all listed publications)

**Uniform Convergence of Adaptive Graph-Based Regularization**
In *COLT 2006*, pages: 50-64, (Editors: Lugosi, G. , H.-U. Simon), Springer, Berlin, Germany, 19th Annual Conference on Learning Theory, September 2006 (inproceedings)

**Efficient Large Scale Linear Programming Support Vector Machines**
In *ECML 2006*, pages: 767-774, (Editors: Fürnkranz, J. , T. Scheffer, M. Spiliopoulou), Springer, Berlin, Germany, 17th European Conference on Machine Learning, September 2006 (inproceedings)

**Regularised CSP for Sensor Selection in BCI**
In *Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006*, pages: 14-15, (Editors: GR Müller-Putz and C Brunner and R Leeb and R Scherer and A Schlögl and S Wriessnegger and G Pfurtscheller), Verlag der Technischen Universität Graz, Graz, Austria, 3rd International Brain-Computer Interface Workshop and Training Course, September 2006 (inproceedings)

**Time-Dependent Demixing of Task-Relevant EEG Signals**
In *Proceedings of the 3rd International Brain-Computer Interface Workshop and Training Course 2006*, pages: 20-21, (Editors: GR Müller-Putz and C Brunner and R Leeb and R Scherer and A Schlögl and S Wriessnegger and G Pfurtscheller), Verlag der Technischen Universität Graz, Graz, Austria, 3rd International Brain-Computer Interface Workshop and Training Course, September 2006 (inproceedings)

**Transductive Gaussian Process Regression with Automatic Model Selection**
In *Machine Learning: ECML 2006*, pages: 306-317, (Editors: Fürnkranz, J. , T. Scheffer, M. Spiliopoulou), Springer, Berlin, Germany, 17th European Conference on Machine Learning (ECML), September 2006 (inproceedings)

**A Sober Look at Clustering Stability**
In *COLT 2006*, pages: 5-19, (Editors: Lugosi, G. , H.-U. Simon), Springer, Berlin, Germany, 19th Annual Conference on Learning Theory, September 2006 (inproceedings)

**Information Marginalization on Subgraphs**
In *ECML/PKDD 2006*, pages: 199-210, (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)

**Bayesian Active Learning for Sensitivity Analysis**
In *ECML 2006*, pages: 353-364, (Editors: Fürnkranz, J. , T. Scheffer, M. Spiliopoulou), Springer, Berlin, Germany, 17th European Conference on Machine Learning, September 2006 (inproceedings)

**Semi-supervised Hyperspectral Image
Classification with Graphs**
In *IGARSS 2006*, pages: 3883-3886, IEEE Computer Society, Los Alamitos, CA, USA, IEEE International Conference on Geoscience and Remote Sensing, August 2006 (inproceedings)

**Supervised Probabilistic Principal Component Analysis**
In *KDD 2006*, pages: 464-473, (Editors: Ungar, L. ), ACM Press, New York, NY, USA, 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2006 (inproceedings)

**Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger**
In pages: 594-602, (Editors: Jurafsky, D. , E. Gaussier), Association for Computational Linguistics, Stroudsburg, PA, USA, 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP), July 2006 (inproceedings)

**A Continuation Method for Semi-Supervised SVMs**
In *ICML 2006*, pages: 185-192, (Editors: Cohen, W. W., A. Moore), ACM Press, New York, NY, USA, 23rd International Conference on Machine Learning, June 2006 (inproceedings)

**Unifying Divergence Minimization and Statistical Inference Via Convex Duality**
In *Learning Theory*, pages: 139-153, (Editors: Lugosi, G. , H.-U. Simon), Springer, Berlin, Germany, 19th Annual Conference on Learning Theory (COLT), June 2006 (inproceedings)

**Trading Convexity for Scalability**
In *ICML 2006*, pages: 201-208, (Editors: Cohen, W. W., A. Moore), ACM Press, New York, NY, USA, 23rd International Conference on Machine Learning, June 2006 (inproceedings)

**Personalized handwriting recognition via biased regularization**
In *ICML 2006*, pages: 457-464, (Editors: Cohen, W. W., A. Moore), ACM Press, New York, NY, USA, 23rd International Conference on Machine Learning, June 2006 (inproceedings)

**Deterministic annealing for semi-supervised kernel machines**
In *ICML 2006*, pages: 841-848, (Editors: Cohen, W. W., A. Moore), ACM Press, New York, NY, USA, 23rd International Conference on Machine Learning, June 2006 (inproceedings)

**Clustering Graphs by Weighted Substructure Mining**
In *ICML 2006*, pages: 953-960, (Editors: Cohen, W. W., A. Moore), ACM Press, New York, NY, USA, 23rd International Conference on Machine Learning, June 2006 (inproceedings)

**A Choice Model with Infinitely Many Latent Features**
In *ICML 2006*, pages: 361-368, (Editors: Cohen, W. W., A. Moore), ACM Press, New York, NY, USA, 23rd International Conference on Machine Learning, June 2006 (inproceedings)

**Learning High-Order MRF Priors of Color Images**
In *ICML 2006*, pages: 617-624, (Editors: Cohen, W. W., A. Moore), ACM Press, New York, NY, USA, 23rd International Conference on Machine Learning, June 2006 (inproceedings)

**Inference with the Universum**
In *ICML 2006*, pages: 1009-1016, (Editors: Cohen, W. W., A. Moore), ACM Press, New York, NY, USA, 23rd International Conference on Machine Learning, June 2006 (inproceedings)

**Statistical Convergence of Kernel CCA**
In *Advances in neural information processing systems 18*, pages: 387-394, (Editors: Weiss, Y. , B. Schölkopf, J. Platt), MIT Press, Cambridge, MA, USA, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS), May 2006 (inproceedings)

**Maximum Margin Semi-Supervised Learning for Structured Variables**
In *Advances in neural information processing systems 18*, pages: 33-40, (Editors: Weiss, Y. , B. Schölkopf, J. Platt), MIT Press, Cambridge, MA, USA, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS), May 2006 (inproceedings)

**Generalized Nonnegative Matrix Approximations with Bregman Divergences**
In *Advances in neural information processing systems 18*, pages: 283-290, (Editors: Weiss, Y. , B. Schölkopf, J. Platt), MIT Press, Cambridge, MA, USA, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS), May 2006 (inproceedings)

**Fast Gaussian Process Regression using KD-Trees**
In *Advances in neural information processing systems 18*, pages: 1225-1232, (Editors: Weiss, Y. , B. Schölkopf, J. Platt), MIT Press, Cambridge, MA, USA, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS), May 2006 (inproceedings)

**Products of "Edge-perts"**
In *Advances in neural information processing systems 18*, pages: 419-426, (Editors: Weiss, Y. , B. Schölkopf, J. Platt), MIT Press, Cambridge, MA, USA, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS), May 2006 (inproceedings)

**Assessing Approximations for Gaussian Process Classification**
In *Advances in neural information processing systems 18*, pages: 699-706, (Editors: Weiss, Y. , B. Schölkopf, J. Platt), MIT Press, Cambridge, MA, USA, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS), May 2006 (inproceedings)

**Worst-Case Bounds for Gaussian Process Models**
In *Advances in neural information processing systems 18*, pages: 619-626, (Editors: Weiss, Y. , B. Schölkopf, J. Platt), MIT Press, Cambridge, MA, USA, Nineteenth Annual Conference on Neural Information Processing Systems (NIPS), May 2006 (inproceedings)

**Row-Action Methods for Compressed Sensing**
In *ICASSP 2006*, pages: 868-871, IEEE Operations Center, Piscataway, NJ, USA, IEEE International Conference on Acoustics, Speech and Signal Processing, May 2006 (inproceedings)

**Learning an Interest Operator from Human Eye Movements**
In *CVPWR 2006*, pages: page 24, (Editors: C Schmid and S Soatto and C Tomasi), IEEE Computer Society, Los Alamitos, CA, USA, 2006 Conference on Computer Vision and Pattern Recognition Workshop, April 2006 (inproceedings)

**Evaluating Predictive Uncertainty Challenge**
In *Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment*, pages: 1-27, (Editors: J Quiñonero Candela and I Dagan and B Magnini and F d’Alché-Buc), Springer, Berlin, Germany, First PASCAL Machine Learning Challenges Workshop (MLCW), April 2006 (inproceedings)

**Estimating Predictive Variances with Kernel Ridge Regression**
In *MLCW 2005*, pages: 56-77, (Editors: Quinonero-Candela, J. , I. Dagan, B. Magnini, F. D‘Alché-Buc), Springer, Berlin, Germany, First PASCAL Machine Learning Challenges Workshop, April 2006 (inproceedings)

**ICA by PCA Approach: Relating Higher-Order Statistics to Second-Order Moments**
In *Independent Component Analysis and Blind Signal Separation*, pages: 311-318, (Editors: J P Rosca and D Erdogmus and J C Príncipe and S Haykin), Springer, 6th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), March 2006, Series: Lecture Notes in Computer Science, Vol. 3889 (inproceedings)

**Machine Learning Methods For Estimating Operator Equations**
In *Proceedings of the 14th IFAC Symposium on System Identification (SYSID 2006)*, pages: 6, (Editors: B Ninness and H Hjalmarsson), Elsevier, Oxford, United Kingdom, 14th IFAC Symposium on System Identification (SYSID), March 2006 (inproceedings)

**Implicit Volterra and Wiener Series for Higher-Order Image Analysis**
In *Advances in Data Analysis: Proceedings of the 30th Annual Conference of The Gesellschaft für Klassifikation*, 30, pages: 1, March 2006 (inproceedings)

**Class prediction from time series gene expression profiles using dynamical systems kernels**
In pages: 547-558, (Editors: Altman, R.B. A.K. Dunker, L. Hunter, T. Murray, T.E. Klein), World Scientific, Singapore, Pacific Symposium on Biocomputing (PSB), January 2006 (inproceedings)

**Causal Inference by Choosing Graphs with Most Plausible Markov Kernels**
In *Proceedings of the 9th International Symposium on Artificial Intelligence and Mathematics*, pages: 1-11, ISAIM, January 2006 (inproceedings)

**Extensions of ICA for Causality Discovery in the Hong Kong Stock Market**
In *Neural Information Processing, 13th International Conference, ICONIP 2006*, pages: 400-409, (Editors: I King and J Wang and L Chan and D L Wang), Springer, 13th International Conference on Neural Information Processing (ICONIP), 2006, Lecture Notes in Computer Science, 2006, Volume 4234/2006 (inproceedings)

**Enhancement of source independence for blind source separation**
In *Independent Component Analysis and Blind Signal Separation, LNCS 3889*, pages: 731-738, (Editors: J. Rosca and D. Erdogmus and JC Príncipe und S. Haykin), Springer, Berlin, Germany, 6th International Conference on Independent Component Analysis and Blind Signal Separation (ICA), 2006, Lecture Notes in Computer Science, 2006, Volume 3889/2006 (inproceedings)

**ICA with Sparse Connections**
In *Intelligent Data Engineering and Automated Learning – IDEAL 2006*, pages: 530-537, (Editors: E Corchado and H Yin and V Botti und Colin Fyfe), Springer, 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL), 2006, Lecture Notes in Computer Science, 2006, Volume 4224/2006 (inproceedings)

**How to choose the covariance for Gaussian process regression independently of the basis**
In *Proceedings of the Workshop Gaussian Processes in Practice*, Workshop Gaussian Processes in Practice (GPIP), 2006 (inproceedings)

**Learning operational space control**
In *Robotics: Science and Systems II (RSS 2006)*, pages: 255-262, (Editors: Gaurav S. Sukhatme and Stefan Schaal and Wolfram Burgard and Dieter Fox), Cambridge, MA: MIT Press, RSS , 2006, clmc (inproceedings)

**Reinforcement Learning for Parameterized Motor Primitives**
In *Proceedings of the 2006 International Joint Conference on Neural Networks*, pages: 73-80, IJCNN, 2006, clmc (inproceedings)

**The rate adapting poisson model for information retrieval and object recognition**
In *Proceedings of the 23rd international conference on Machine learning*, pages: 337-344, ICML ’06, ACM, New York, NY, USA, 2006 (inproceedings)

**Policy gradient methods for robotics**
In *Proceedings of the IEEE International Conference on Intelligent Robotics Systems*, pages: 2219-2225, IROS, 2006, clmc (inproceedings)

**Kernel ICA for Large Scale Problems**
In pages: -, NIPS Workshop on Large Scale Kernel Machines, December 2005 (inproceedings)

**Infinite dimensional exponential families by reproducing kernel Hilbert spaces**
In *IGAIA 2005*, pages: 324-333, 2nd International Symposium on Information Geometry and its Applications, December 2005 (inproceedings)

**Shortest-path kernels on graphs**
In pages: 74-81, IEEE Computer Society, Los Alamitos, CA, USA, Fifth International Conference on Data Mining (ICDM), November 2005 (inproceedings)

**Training Support Vector Machines with Multiple Equality Constraints **
In *Proceedings of the 16th European Conference on Machine Learning, Lecture Notes in Computer Science, Vol. 3720*, pages: 182-193, (Editors: JG Carbonell and J Siekmann), Springer, Berlin, Germany, ECML, November 2005 (inproceedings)

**Measuring Statistical Dependence with Hilbert-Schmidt Norms**
In *Algorithmic Learning Theory, Lecture Notes in Computer Science, Vol. 3734*, pages: 63-78, (Editors: S Jain and H-U Simon and E Tomita), Springer, Berlin, Germany, 16th International Conference ALT, October 2005 (inproceedings)

**An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron**
In *Algorithmic Learning Theory: 16th International Conference*, pages: 78-92, Algorithmic Learning Theory, October 2005 (inproceedings)