174 results
(View BibTeX file of all listed publications)

**Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques**
*European Journal of Nuclear Medicine and Molecular Imaging*, 36(Supplement 1):93-104, March 2009 (article)

**Generating Spike Trains with Specified Correlation Coefficients**
*Neural Computation*, 21(2):397-423, February 2009 (article)

**Automatic detection of preclinical neurodegeneration: Presymptomatic Huntington disease**
*Neurology*, 72(5):426-431, February 2009 (article)

**Enumeration of condition-dependent dense modules in protein interaction networks**
*Bioinformatics*, 25(7):933-940, February 2009 (article)

**Prototype Classification: Insights from Machine Learning**
*Neural Computation*, 21(1):272-300, January 2009 (article)

**The DICS repository: module-assisted analysis of disease-related gene lists**
*Bioinformatics*, 25(6):830-831, January 2009 (article)

**Large Margin Methods for Part of Speech Tagging**
In *Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods*, pages: 141-160, (Editors: Keshet, J. and Bengio, S.), Wiley, Hoboken, NJ, USA, January 2009 (inbook)

**Motor Control and Learning in Table Tennis**
Eberhard Karls Universität Tübingen, Gerrmany, 2009 (diplomathesis)

**Hierarchical Clustering and Density Estimation Based on k-nearest-neighbor graphs**
Eberhard Karls Universität Tübingen, Germany, 2009 (diplomathesis)

**mGene: accurate SVM-based gene finding with an application to nematode genomes**
*Genome Research*, 19(11):2133-43, 2009 (article)

**Learning with Structured Data: Applications to Computer Vision**
Technische Universität Berlin, Germany, 2009 (phdthesis)

**Structure and activity of the N-terminal substrate recognition domains in proteasomal ATPases**
*Molecular Cell*, 34(5):580-590, 2009 (article)

**Discussion of: Brownian Distance Covariance**
*The Annals of Applied Statistics*, 3(4):1285-1294, 2009 (article)

**Covariate shift and local learning by distribution matching**
In *Dataset Shift in Machine Learning*, pages: 131-160, (Editors: Quiñonero-Candela, J., Sugiyama, M., Schwaighofer, A. and Lawrence, N. D.), MIT Press, Cambridge, MA, USA, 2009 (inbook)

**From Differential Equations to Differential Geometry: Aspects of Regularisation in Machine Learning**
Universität des Saarlandes, Saarbrücken, Germany, 2009 (phdthesis)

**Non-linear System Identification: Visual Saliency Inferred from Eye-Movement Data**
*Journal of Vision*, 9(8):article 32, 2009 (article)

**mGene.web: a web service for accurate computational gene finding**
*Nucleic Acids Research*, 37, pages: W312-6, 2009 (article)

**Computational models for neuromuscular function**
*IEEE Reviews in Biomedical Engineering – (All authors have equally contributed)*, (2):110?135, 2009, clmc (article)

**Bayesian Methods for Autonomous Learning Systems (Phd Thesis)**
Department of Computer Science, University of Southern California, Los Angeles, CA, 2009, clmc (phdthesis)

**On-line learning and modulation of periodic movements with nonlinear dynamical systems**
*Autonomous Robots*, 27(1):3-23, 2009, clmc (article)

**Local dimensionality reduction for non-parametric regression**
*Neural Processing Letters*, 2009, clmc (article)

**Incorporating Muscle Activation-Contraction dynamics to an optimal control framework for finger movements**
*Abstracts of Neural Control of Movement Conference (NCM 2009)*, 2009, clmc (article)

**On-line learning and modulation of periodic movements with nonlinear dynamical systems**
*Autonomous Robots*, 27(1):3-23, 2009, clmc (article)

**Kernel Methods for Measuring Independence**
*Journal of Machine Learning Research*, 6, pages: 2075-2129, December 2005 (article)

**A Unifying View of Sparse Approximate Gaussian Process Regression**
*Journal of Machine Learning Research*, 6, pages: 1935-1959, December 2005 (article)

**Extension to Kernel Dependency Estimation with Applications to Robotics**
Biologische Kybernetik, Technische Universität Berlin, Berlin, November 2005 (phdthesis)

**Geometrical aspects of statistical learning theory**
Biologische Kybernetik, Darmstadt, Darmstadt, November 2005 (phdthesis)

**Maximal Margin Classification for Metric Spaces**
*Journal of Computer and System Sciences*, 71(3):333-359, October 2005 (article)

**Selective integration of multiple biological data for supervised
network inference**
*Bioinformatics*, 21(10):2488 , October 2005 (article)

**Assessing Approximate Inference for Binary Gaussian Process Classification**
*Journal of Machine Learning Research*, 6, pages: 1679 , October 2005 (article)

**Implicit Surfaces For Modelling
Human Heads**
Biologische Kybernetik, Eberhard-Karls-Universität, Tübingen, September 2005 (diplomathesis)

**Clustering on the Unit Hypersphere using von Mises-Fisher Distributions**
*Journal of Machine Learning Research*, 6, pages: 1345-1382, September 2005 (article)

**Support Vector Machines for 3D Shape Processing**
*Computer Graphics Forum*, 24(3, EUROGRAPHICS 2005):285-294, September 2005 (article)

**Fast Protein Classification with Multiple Networks**
*Bioinformatics*, 21(Suppl. 2):59-65, September 2005 (article)

**Iterative Kernel Principal Component Analysis for Image Modeling**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 27(9):1351-1366, September 2005 (article)

**Machine Learning Methods for Brain-Computer Interdaces**
Biologische Kybernetik, University of Darmstadt, September 2005 (phdthesis)

**Phenotypic characterization of chondrosarcoma-derived cell lines**
*Cancer Letters*, 226(2):143-154, August 2005 (article)

**Local Rademacher Complexities**
*The Annals of Statistics*, 33(4):1497-1537, August 2005 (article)

**Learning the Kernel with Hyperkernels**
*Journal of Machine Learning Research*, 6, pages: 1043-1071, July 2005 (article)

**Image Reconstruction by Linear Programming**
*IEEE Transactions on Image Processing*, 14(6):737-744, June 2005 (article)

**RASE: recognition of alternatively spliced exons in C.elegans**
*Bioinformatics*, 21(Suppl. 1):i369-i377, June 2005 (article)

**Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection**
*Journal of Machine Learning Research*, 6, pages: 995-1018, June 2005 (article)

**Texture and haptic cues in slant discrimination: Reliability-based cue weighting without statistically optimal cue combination**
*Journal of the Optical Society of America A*, 22(5):801-809, May 2005 (article)

**Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain**
Biologische Kybernetik, Eberhard-Karls University Tübingen, Tübingen, Germany, May 2005 (diplomathesis)

**Bayesian inference for psychometric functions**
*Journal of Vision*, 5(5):478-492, May 2005 (article)

**A gene expression map of Arabidopsis thaliana development**
*Nature Genetics*, 37(5):501-506, April 2005 (article)

**Experimentally optimal v in support vector regression for different noise models and parameter settings**
*Neural Networks*, 18(2):205-205, March 2005 (article)

**Composite adaptive control with locally weighted statistical learning**
*Neural Networks*, 18(1):71-90, January 2005, clmc (article)

**Invariance of Neighborhood Relation under Input Space to Feature Space Mapping**
*Pattern Recognition Letters*, 26(6):707-718, 2005 (article)

**Theory of Classification: A Survey of Some Recent Advances**
*ESAIM: Probability and Statistics*, 9, pages: 323 , 2005 (article)