118 results
(View BibTeX file of all listed publications)

**Reaction graph kernels for discovering missing enzymes in the plant secondary metabolism**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Positional Oligomer Importance Matrices**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Machine Learning Algorithms for Polymorphism Detection**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**An Automated Combination of Kernels for Predicting Protein Subcellular Localization**
NIPS Workshop on Machine Learning in Computational Biology, December 2007 (talk)

**Challenges in Brain-Computer Interface Development: Induction, Measurement, Decoding, Integration**
Invited keynote talk at the launch of BrainGain, the Dutch BCI research consortium, November 2007 (talk)

**Towards compliant humanoids: an experimental assessment of suitable task space position/orientation controllers**
In *IROS 2007*, 2007, pages: 2520-2527, (Editors: Grant, E. , T. C. Henderson), IEEE Service Center, Piscataway, NJ, USA, IEEE/RSJ International Conference on Intelligent Robots and Systems, November 2007 (inproceedings)

**Performance Stabilization and Improvement in Graph-based Semi-supervised Learning with
Ensemble Method and Graph Sharpening**
In *Korean Data Mining Society Conference*, pages: 257-262, Korean Data Mining Society, Seoul, Korea, Korean Data Mining Society Conference, November 2007 (inproceedings)

**Policy Learning for Robotics**
14th International Conference on Neural Information Processing (ICONIP), November 2007 (talk)

**Hilbert Space Representations of Probability Distributions**
2nd Workshop on Machine Learning and Optimization at the ISM, October 2007 (talk)

**Discriminative Subsequence Mining for Action Classification**
In *ICCV 2007*, pages: 1919-1923, IEEE Computer Society, Los Alamitos, CA, USA, 11th IEEE International Conference on Computer Vision, October 2007 (inproceedings)

**Regression with Intervals**
International Workshop on Data-Mining and Statistical Science (DMSS2007), October 2007, JSAI Incentive Award. Talk was given by Hisashi Kashima. (talk)

**A Hilbert Space Embedding for Distributions**
In *Algorithmic Learning Theory, Lecture Notes in Computer Science 4754 *, pages: 13-31, (Editors: M Hutter and RA Servedio and E Takimoto), Springer, Berlin, Germany, 18th International Conference on Algorithmic Learning Theory (ALT), October 2007 (inproceedings)

**Cluster Identification in Nearest-Neighbor Graphs**
In *ALT 2007*, pages: 196-210, (Editors: Hutter, M. , R. A. Servedio, E. Takimoto), Springer, Berlin, Germany, 18th International Conference on Algorithmic Learning Theory, October 2007 (inproceedings)

**Inducing Metric Violations in Human Similarity Judgements**
In *Advances in Neural Information Processing Systems 19*, pages: 777-784, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Cross-Validation Optimization for Large Scale Hierarchical
Classification Kernel Methods**
In *Advances in Neural Information Processing Systems 19*, pages: 1233-1240, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**A Local Learning Approach for Clustering**
In *Advances in Neural Information Processing Systems 19*, pages: 1529-1536, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**MR-Based PET Attenuation Correction: Method and Validation**
Joint Molecular Imaging Conference, September 2007 (talk)

**Branch and Bound for Semi-Supervised Support Vector Machines**
In *Advances in Neural Information Processing Systems 19*, pages: 217-224, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**A Kernel Method for the Two-Sample-Problem**
In *Advances in Neural Information Processing Systems 19*, pages: 513-520, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models**
In *Advances in Neural Information Processing Systems 19*, pages: 673-680, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Learning Dense 3D Correspondence**
In *Advances in Neural Information Processing Systems 19*, pages: 1313-1320, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Optimal Dominant Motion Estimation using Adaptive Search of Transformation Space**
In *DAGM 2007*, pages: 204-215, (Editors: Hamprecht, F. A., C. Schnörr, B. Jähne), Springer, Berlin, Germany, 29th Annual Symposium of the German Association for Pattern Recognition, September 2007 (inproceedings)

**Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models**
In *ISPA 2007*, pages: 446-451, IEEE Computer Society, Los Alamitos, CA, USA, 5th International Symposium on Image and Signal Processing and Analysis, September 2007 (inproceedings)

**Manifold Denoising**
In *Advances in Neural Information Processing Systems 19*, pages: 561-568, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye movements**
In *Pattern Recognition*, pages: 405-414, (Editors: FA Hamprecht and C Schnörr and B Jähne), Springer, Berlin, Germany, 29th Annual Symposium of the German Association for Pattern Recognition (DAGM), September 2007 (inproceedings)

**Bayesian Inference for Sparse Generalized Linear Models**
In *ECML 2007*, pages: 298-309, Lecture Notes in Computer Science ; 4701, (Editors: Kok, J. N., J. Koronacki, R. Lopez de Mantaras, S. Matwin, D. Mladenic, A. Skowron), Springer, Berlin, Germany, 18th European Conference on Machine Learning, September 2007 (inproceedings)

**Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions**
In *Advances in Neural Information Processing Systems 19*, pages: 273-280, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Bayesian methods for NMR structure determination**
29th Annual Discussion Meeting: Magnetic Resonance in Biophysical Chemistry, September 2007 (talk)

**A Nonparametric Approach to Bottom-Up Visual Saliency**
In *Advances in Neural Information Processing Systems 19*, pages: 689-696, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Information Bottleneck for Non Co-Occurrence Data**
In *Advances in Neural Information Processing Systems 19*, pages: 1241-1248, (Editors: Schölkopf, B. , J. Platt, T. Hofmann), MIT Press, Cambridge, MA, USA, Twentieth Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Learning with Hypergraphs: Clustering, Classification, and Embedding**
In *Advances in Neural Information Processing Systems 19*, pages: 1601-1608, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Correcting Sample Selection Bias by Unlabeled Data**
In *Advances in Neural Information Processing Systems 19*, pages: 601-608, (Editors: B Schölkopf and J Platt and T Hofmann), MIT Press, Cambridge, MA, USA, 20th Annual Conference on Neural Information Processing Systems (NIPS), September 2007 (inproceedings)

**Collaborative Filtering via Ensembles of Matrix Factorizations**
KDD Cup and Workshop, August 2007 (talk)

**Collaborative Filtering via Ensembles of Matrix Factorizations**
In *KDD Cup and Workshop 2007*, pages: 43-47, KDD Cup and Workshop, August 2007 (inproceedings)

**Thinking Out Loud: Research and Development of Brain Computer Interfaces**
Invited keynote talk at the Max Planck Society‘s PhDNet Workshop., July 2007 (talk)

**Online-Computation Approach to Optimal Control of Noise-Affected Nonlinear Systems with Continuous State and Control Spaces**
In *ECC‘07*, pages: 3664-3671, 9th European Control Conference, July 2007 (inproceedings)

**Local Learning Algorithms for Transductive Classification, Clustering and Data Projection**
Yahoo Inc., July 2007 (talk)

**A Kernel Approach to Comparing Distributions**
In *Proceedings of the 22. AAAI Conference on Artificial Intelligence*, pages: 1637-1641, AAAI Press, Menlo Park, CA, USA, Twenty-Second AAAI Conference on Artificial Intelligence (AAAI), July 2007 (inproceedings)

**Manifold Denoising as Preprocessing for Finding Natural Representations of Data**
In *AAAI-07*, pages: 1646-1649, AAAI Press, Menlo Park, CA, USA, Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07), July 2007 (inproceedings)

**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)

**Dirichlet Process Mixtures of Factor Analysers**
Fifth Workshop on Bayesian Inference in Stochastic Processes (BSP5), June 2007 (talk)

**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)

**New BCI approaches: Selective Attention to Auditory and Tactile Stimulus Streams**
Invited talk at the PASCAL Workshop on Methods of Data Analysis in Computational Neuroscience and Brain Computer Interfaces, June 2007 (talk)

**Towards Motor Skill Learning in Robotics**
Interactive Robot Learning - RSS workshop, June 2007 (talk)

**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)