124 results
(View BibTeX file of all listed publications)

**Self-calibration of optical lenses**
In *IEEE International Conference on Computer Vision (ICCV 2015)*, pages: 612-620, IEEE, 2015 (inproceedings)

**Telling cause from effect in deterministic linear dynamical systems**
In *Proceedings of the 32nd International Conference on Machine Learning*, 37, pages: 285–294, JMLR Workshop and Conference Proceedings, (Editors: F. Bach and D. Blei), JMLR, ICML, 2015 (inproceedings)

**A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis**
In *Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics*, pages: 3187-3191, SMC, 2015 (inproceedings)

**Efficient Learning of Linear Separators under Bounded Noise**
In *Proceedings of the 28th Conference on Learning Theory*, 40, pages: 167-190, (Editors: Grünwald, P. and Hazan, E. and Kale, S.), JMLR, COLT, 2015 (inproceedings)

**Learning multiple collaborative tasks with a mixture of Interaction Primitives**
In *IEEE International Conference on Robotics and Automation*, pages: 1535-1542, ICRA, 2015 (inproceedings)

**Subspace Alignement based Domain Adaptation for RCNN detector**
*Proceedings of the 26th British Machine Vision Conference (BMVC 2015)*, pages: 166.1-166.11, (Editors: Xianghua Xie and Mark W. Jones and Gary K. L. Tam), 2015 (conference)

**Practical Probabilistic Programming with Monads**
*Proceedings of the 2015 ACM SIGPLAN Symposium on Haskell*, pages: 165-176, Haskell ’15, ACM, 2015 (conference)

**Developing neural networks with neurons competing for survival**
pages: 152-153, IEEE, Piscataway, NJ, USA, 5th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB), August 2015 (conference)

**How to Deal with Large Dataset, Class Imbalance and Binary Output in SVM based Response
Model**
In *Proc. of the Korean Data Mining Conference*, pages: 93-107, Korean Data Mining Conference, December 2003, Best Paper Award (inproceedings)

**Bayesian Monte Carlo**
In *Advances in Neural Information Processing Systems 15*, pages: 489-496, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**On the Complexity of Learning the Kernel Matrix**
In *Advances in Neural Information Processing Systems 15*, pages: 399-406, (Editors: Becker, S. , S. Thrun, K. Obermayer), The MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Control, Planning, Learning, and Imitation
with Dynamic Movement Primitives**
In *IROS 2003*, pages: 1-21, Workshop on Bilateral Paradigms on Humans and Humanoids, IEEE International Conference on Intelligent Robots and Systems, October 2003 (inproceedings)

**Discriminative Learning for Label Sequences via Boosting
**
In *Advances in Neural Information Processing Systems 15*, pages: 977-984, (Editors: Becker, S. , S. Thrun, K. Obermayer ), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Multiple-step ahead prediction for non linear dynamic systems: A Gaussian Process treatment with propagation of the uncertainty**
In *Advances in Neural Information Processing Systems 15*, pages: 529-536, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Cluster Kernels for Semi-Supervised Learning**
In *Advances in Neural Information Processing Systems 15*, pages: 585-592, (Editors: S Becker and S Thrun and K Obermayer), MIT Press, Cambridge, MA, USA, 16th Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Mismatch String Kernels for SVM Protein Classification**
In *Advances in Neural Information Processing Systems 15*, pages: 1417-1424, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Incremental Gaussian Processes**
In *Advances in Neural Information Processing Systems 15*, pages: 1001-1008, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Kernel Dependency Estimation**
In *Advances in Neural Information Processing Systems 15*, pages: 873-880, (Editors: S Becker and S Thrun and K Obermayer), MIT Press, Cambridge, MA, USA, 16th Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Derivative observations in Gaussian Process models of dynamic systems**
In *Advances in Neural Information Processing Systems 15*, pages: 1033-1040, (Editors: Becker, S., S. Thrun and K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Linear Combinations of Optic Flow Vectors for Estimating Self-Motion: a Real-World Test of a Neural Model**
In *Advances in Neural Information Processing Systems 15*, pages: 1319-1326, (Editors: Becker, S., S. Thrun and K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Clustering with the Fisher score**
In *Advances in Neural Information Processing Systems 15*, pages: 729-736, (Editors: Becker, S. , S. Thrun, K. Obermayer), MIT Press, Cambridge, MA, USA, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS), October 2003 (inproceedings)

**Large Margin Methods for Label Sequence Learning **
In pages: 993-996, International Speech Communication Association, Bonn, Germany, 8th European Conference on Speech Communication and Technology (EuroSpeech), September 2003 (inproceedings)

**Fast Pattern Selection Algorithm for Support Vector Classifiers: "Time Complexity Analysis"**
In *Lecture Notes in Computer Science (LNCS 2690)*, LNCS 2690, pages: 1008-1015, Springer-Verlag, Heidelberg, The 4th International Conference on Intelligent Data Engineering (IDEAL), September 2003 (inproceedings)

**Marginalized Kernels between Labeled Graphs**
In *20th International Conference on Machine Learning*, pages: 321-328, (Editors: Faucett, T. and N. Mishra), 20th International Conference on Machine Learning, August 2003 (inproceedings)

**Sparse Gaussian Processes: inference, subspace identification and model selection**
In *Proceedings*, pages: 1-6, (Editors: Van der Hof, , Wahlberg), The Netherlands, 13th IFAC Symposium on System Identifiaction, August 2003, electronical version; Index ThA02-2 (inproceedings)

**Adaptive, Cautious, Predictive control with Gaussian Process Priors**
In *Proceedings of the 13th IFAC Symposium on System Identification*, pages: 1195-1200, (Editors: Van den Hof, P., B. Wahlberg and S. Weiland), Proceedings of the 13th IFAC Symposium on System Identification, August 2003 (inproceedings)

**Generative Model-based Clustering of Directional Data**
In *Proc. ACK SIGKDD*, pages: 00-00, KDD, August 2003 (inproceedings)

**Hidden Markov Support Vector Machines**
In pages: 4-11, (Editors: Fawcett, T. , N. Mishra), AAAI Press, Menlo Park, CA, USA, Twentieth International Conference on Machine Learning (ICML), August 2003 (inproceedings)

**How Many Neighbors To Consider in Pattern Pre-selection for Support Vector Classifiers?**
In *Proc. of INNS-IEEE International Joint Conference on Neural Networks (IJCNN 2003)*, pages: 565-570, IJCNN, July 2003 (inproceedings)

**On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics**
In *Humanoids Proceedings*, pages: 0-0, Humanoids Proceedings, July 2003, electronical version (inproceedings)

**Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences **
In pages: 145-152, (Editors: Collins, M. , M. Steedman), ACL, East Stroudsburg, PA, USA, Conference on Empirical Methods in Natural Language Processing (EMNLP) , July 2003 (inproceedings)

**Time Complexity Analysis of Fast Pattern Selection Algorithm for SVM**
In *Proc. of the Korean Data Mining Conference*, pages: 221-231, Korean Data Mining Conference, June 2003 (inproceedings)

**Fast Pattern Selection for Support Vector Classifiers**
In *PAKDD 2003*, pages: 376-387, (Editors: Whang, K.-Y. , J. Jeon, K. Shim, J. Srivastava), Springer, Berlin, Germany, 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2003 (inproceedings)

**Scaling Reinforcement Learning Paradigms for Motor Control**
In *JSNC 2003*, 10, pages: 1-7, 10th Joint Symposium on Neural Computation (JSNC), May 2003 (inproceedings)

**A case based comparison of identification with neural network and Gaussian process models.**
In *Proceedings of the International Conference on Intelligent Control Systems and Signal Processing ICONS 2003*, 1, pages: 137-142, (Editors: Ruano, E.A.), Proceedings of the International Conference on Intelligent Control Systems and Signal Processing ICONS, April 2003 (inproceedings)

**On-Line One-Class Support Vector Machines. An Application to Signal Segmentation**
In *IEEE ICASSP Vol. 2*, pages: 709-712, IEEE ICASSP, April 2003 (inproceedings)

**Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation**
In *ICA 2003*, pages: 269-274, (Editors: Amari, S.-I. , A. Cichocki, S. Makino, N. Murata), 4th International Symposium on Independent Component Analysis and Blind Signal Separation, April 2003 (inproceedings)

**The Kernel Mutual Information**
In *IEEE ICASSP Vol. 4*, pages: 880-883, IEEE ICASSP, April 2003 (inproceedings)

**Analysing ICA component by injection noise**
In *ICA 2003*, pages: 149-154, (Editors: Amari, S.-I. , A. Cichocki, S. Makino, N. Murata), 4th International Symposium on Independent Component Analysis and Blind Signal Separation, April 2003 (inproceedings)

**Hierarchical Spatio-Temporal Morphable Models for Representation of
complex movements for Imitation Learning**
In *11th International Conference on Advanced Robotics*, (2):453-458, (Editors: Nunes, U., A. de Almeida, A. Bejczy, K. Kosuge and J.A.T. Machado), 11th International Conference on Advanced Robotics, January 2003 (inproceedings)

Ong, CS., Smola, AJ., Williamson, RC.
**Hyperkernels**
In pages: 495-502, 2003 (inproceedings)

**Feature Selection for Support Vector Machines by Means of Genetic Algorithms**
In *15th IEEE International Conference on Tools with AI*, pages: 142-148, 15th IEEE International Conference on Tools with AI, 2003 (inproceedings)

**Propagation of Uncertainty in Bayesian Kernel Models - Application to Multiple-Step Ahead Forecasting**
In *IEEE International Conference on Acoustics, Speech and Signal Processing*, 2, pages: 701-704, IEEE International Conference on Acoustics, Speech and Signal Processing, 2003 (inproceedings)

**Unsupervised Clustering of Images using their Joint Segmentation**
In *The 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV 2003)*, pages: 1-24, 3rd International Workshop on Statistical and Computational Theories of Vision (SCTV), 2003 (inproceedings)

**Kernel Methods and Their Applications to Signal Processing**
In *Proceedings. (ICASSP ‘03)*, Special Session on Kernel Methods, pages: 860 , ICASSP, 2003 (inproceedings)

**Predictive control with Gaussian process models**
In *Proceedings of IEEE Region 8 Eurocon 2003: Computer as a Tool*, pages: 352-356, (Editors: Zajc, B. and M. Tkal), Proceedings of IEEE Region 8 Eurocon: Computer as a Tool, 2003 (inproceedings)

**Distance-based classification with Lipschitz functions**
In *Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory*, pages: 314-328, (Editors: Schölkopf, B. and M.K. Warmuth), Learning Theory and Kernel Machines, Proceedings of the 16th Annual Conference on Computational Learning Theory, 2003 (inproceedings)

**Semi-Supervised Learning through Principal Directions Estimation**
In *ICML Workshop, The Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining*, pages: 7, ICML Workshop: The Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining, 2003 (inproceedings)

Ong, CS., Smola, AJ.
**Machine Learning with Hyperkernels**
In pages: 568-575, 2003 (inproceedings)

**Gaussian Processes to Speed up Hybrid Monte Carlo for Expensive Bayesian Integrals**
In *Bayesian Statistics 7*, pages: 651-659, (Editors: J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West), Bayesian Statistics 7, 2003 (inproceedings)