42 results
(View BibTeX file of all listed publications)

**A Kernel Method for the Two-Sample-Problem**
20th Annual Conference on Neural Information Processing Systems (NIPS), December 2006 (talk)

**Ab-initio gene finding using machine learning**
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)

**Graph boosting for molecular QSAR analysis**
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)

**Inferring Causal Directions by Evaluating the Complexity of Conditional Distributions**
NIPS Workshop on Causality and Feature Selection, December 2006 (talk)

**Structure validation of the Josephin domain of ataxin-3: Conclusive evidence for an open conformation**
*Journal of Biomolecular NMR*, 36(4):267-277, December 2006 (article)

**A Unifying View of Wiener and Volterra Theory and Polynomial Kernel Regression**
*Neural Computation*, 18(12):3097-3118, December 2006 (article)

**Learning Optimal EEG Features Across Time, Frequency and Space**
NIPS Workshop on Current Trends in Brain-Computer Interfacing, December 2006 (talk)

**Semi-Supervised Learning**
Advanced Methods in Sequence Analysis Lectures, November 2006 (talk)

**Spatial four-alternative forced-choice method is the preferred psychophysical method for naive
observers**
*Journal of Vision*, 6(11):1307-1322, November 2006 (article)

**Statistical Analysis of Slow Crack Growth
Experiments**
*Journal of the European Ceramic Society*, 26(15):3061-3065, November 2006 (article)

**A Machine Learning Approach for Determining the PET Attenuation Map from Magnetic Resonance Images**
IEEE Medical Imaging Conference, November 2006 (talk)

**Mining frequent stem patterns from unaligned RNA sequences**
*Bioinformatics*, 22(20):2480-2487, October 2006 (article)

**Large-Scale Gene Expression Profiling Reveals Major Pathogenetic Pathways of Cartilage Degeneration in Osteoarthritis**
*Arthritis and Rheumatism*, 54(11):3533-3544, October 2006 (article)

**Semi-Supervised Support Vector Machines and Application to Spam Filtering**
ECML Discovery Challenge Workshop, September 2006 (talk)

**Implicit Surface Modelling with a Globally Regularised Basis of Compact Support**
*Computer Graphics Forum*, 25(3):635-644, September 2006 (article)

**Inferential Structure Determination: Probabilistic determination and validation of NMR structures**
Gordon Research Conference on Computational Aspects of Biomolecular
NMR, September 2006 (talk)

**An Online Support Vector Machine for Abnormal Events Detection**
*Signal Processing*, 86(8):2009-2025, August 2006 (article)

**Machine Learning Algorithms for Polymorphism Detection**
2nd ISCB Student Council Symposium, August 2006 (talk)

**Integrating Structured Biological data by Kernel Maximum Mean Discrepancy**
*Bioinformatics*, 22(4: ISMB 2006 Conference Proceedings):e49-e57, August 2006 (article)

**Comment on “Support vector machines with applications” by J. M. Moguerza and A. Muñoz
**
*Statistical Science*, 21(3):337-340, August 2006 (article)

**Large Scale Transductive SVMs**
*Journal of Machine Learning Research*, 7, pages: 1687-1712, August 2006 (article)

**Building Support Vector Machines with Reduced Classifier Complexity**
*Journal of Machine Learning Research*, 7, pages: 1493-1515, July 2006 (article)

**Inferential structure determination: Overview and new developments**
Sixth CCPN Annual Conference: Efficient and Rapid Structure Determination by NMR, July 2006 (talk)

**ARTS: Accurate Recognition of Transcription Starts in Human**
*Bioinformatics*, 22(14):e472-e480, July 2006 (article)

**MR/PET Attenuation Correction**
Max-Planck-Gesellschaft, Biologische Kybernetik, July 2006 (patent)

**Large Scale Multiple Kernel Learning**
*Journal of Machine Learning Research*, 7, pages: 1531-1565, July 2006 (article)

**Factorial coding of natural images: how effective are linear models in removing higher-order dependencies?**
*Journal of the Optical Society of America A*, 23(6):1253-1268, June 2006 (article)

**MCMC inference in (Conditionally) Conjugate Dirichlet Process Gaussian Mixture Models**
ICML Workshop on Learning with Nonparametric Bayesian Methods, June 2006 (talk)

**Sampling for non-conjugate infinite latent feature models**
(Editors: Bernardo, J. M.), 8th Valencia International Meeting on Bayesian Statistics (ISBA), June 2006 (talk)

**Classifying EEG and ECoG Signals without Subject Training for Fast BCI Implementation: Comparison of Non-Paralysed and Completely Paralysed Subjects**
*IEEE Transactions on Neural Systems and Rehabilitation Engineering*, 14(2):183-186, June 2006 (article)

**SCARNA: Fast and Accurate Structural Alignment of RNA Sequences by Matching Fixed-Length Stem Fragments**
*Bioinformatics*, 22(14):1723-1729, May 2006 (article)

**Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference **
*Proceedings of the 19th Annual Conference on Neural Information Processing Systems (NIPS 2005)*, pages: 1676, MIT Press, Cambridge, MA, USA, 19th Annual Conference on Neural Information Processing Systems (NIPS), May 2006 (proceedings)

**The Effect of Artifacts on Dependence Measurement in fMRI**
*Magnetic Resonance Imaging*, 24(4):401-409, April 2006 (article)

**Phase noise and the classification of natural images**
*Vision Research*, 46(8-9):1520-1529, April 2006 (article)

**A Direct Method for Building Sparse Kernel Learning Algorithms**
*Journal of Machine Learning Research*, 7, pages: 603-624, April 2006 (article)

**An Inventory of Sequence Polymorphisms For Arabidopsis**
17th International Conference on Arabidopsis Research, April 2006 (talk)

**Statistical Properties of Kernel Principal Component Analysis**
*Machine Learning*, 66(2-3):259-294, March 2006 (article)

**Network-based de-noising improves prediction from microarray data**
*BMC Bioinformatics*, 7(Suppl. 1):S4-S4, March 2006 (article)

**Model-based Design Analysis and Yield Optimization**
*IEEE Transactions on Semiconductor Manufacturing*, 19(4):475-486, February 2006 (article)

**Weighting of experimental evidence in macromolecular structure determination**
*Proceedings of the National Academy of Sciences of the United States of America*, 103(6):1756-1761, February 2006 (article)

**Classification of Faces in Man and Machine**
*Neural Computation*, 18(1):143-165, January 2006 (article)

**Machine Learning Challenges: evaluating predictive uncertainty, visual object classification and recognising textual entailment**
*Proceedings of the First Pascal Machine Learning Challenges Workshop on Machine Learning Challenges, Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment (MLCW 2005)*, pages: 462, Lecture Notes in Computer Science, Springer, Heidelberg, Germany, First Pascal Machine Learning Challenges Workshop (MLCW), 2006 (proceedings)