1099 results
(View BibTeX file of all listed publications)

**Gaussian Process Dynamic Programming**
*Neurocomputing*, 72(7-9):1508-1524, March 2009 (article)

**An algebraic characterization of the optimum of regularized kernel methods**
*Machine Learning*, 74(3):315-345, March 2009 (article)

**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)

**Automatic classification of brain resting states using fMRI temporal signals **
*Electronics Letters*, 45(1):19-21, 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)

**Pre−processed feature ranking for a support vector machine**
United States Patent, No. 7475048, January 2009 (patent)

**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)

**Efficient Bregman Range Search**
In *Advances in Neural Information Processing Systems 22*, pages: 243-251, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)

**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)

**Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions**
In *Advances in Neural Information Processing Systems 22*, pages: 1750-1758, (Editors: Y Bengio and D Schuurmans and J Lafferty and C Williams and A Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)

**Nonlinear directed acyclic structure learning with weakly additive noise models**
In *Advances in Neural Information Processing Systems 22*, pages: 1847-1855, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)

**Efficient factor GARCH models and factor-DCC models**
*Quantitative Finance*, 9(1):71-91, 2009 (article)

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

**Graphical models for decoding in BCI visual speller systems**
In pages: 470-473, IEEE, 4th International IEEE EMBS Conference on Neural Engineering (NER), 2009 (inproceedings)

**A Fast, Consistent Kernel Two-Sample Test**
In *Advances in Neural Information Processing Systems 22*, pages: 673-681, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)

**Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity**
In *Advances in Neural Information Processing Systems 22*, pages: 126-134, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)

**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)

**Fast subtree kernels on graphs**
In *Advances in Neural Information Processing Systems 22*, pages: 1660-1668, (Editors: Bengio, Y. , D. Schuurmans, J. Lafferty, C. Williams, A. Culotta), Curran, Red Hook, NY, USA, 23rd Annual Conference on Neural Information Processing Systems (NIPS), 2009 (inproceedings)

**An introduction to Kernel Learning Algorithms**
In *Kernel Methods for Remote Sensing Data Analysis*, pages: 25-48, 2, (Editors: Gustavo Camps-Valls and Lorenzo Bruzzone), Wiley, New York, NY, USA, 2009 (inbook)

**On feature combination for multiclass object classification**
In *Proceedings of the Twelfth IEEE International Conference on Computer Vision*, pages: 221-228, ICCV, 2009, oral presentation (inproceedings)

**BCPy2000**
Workshop "Machine Learning Open-Source Software" at NIPS, December 2008 (talk)

**A Predictive Model for Imitation Learning in Partially Observable Environments**
In *ICMLA 2008*, pages: 83-90, (Editors: Wani, M. A., X.-W. Chen, D. Casasent, L. A. Kurgan, T. Hu, K. Hafeez), IEEE, Piscataway, NJ, USA, Seventh International Conference on Machine Learning and Applications, December 2008 (inproceedings)

**Stereo Matching for Calibrated Cameras without Correspondence**
In *CDC 2008*, pages: 2408-2413, IEEE Service Center, Piscataway, NJ, USA, 47th IEEE Conference on Decision and Control, December 2008 (inproceedings)

**Joint Kernel Support Estimation for Structured Prediction**
In *Proceedings of the NIPS 2008 Workshop on "Structured Input - Structured Output" (NIPS SISO 2008)*, pages: 1-4, NIPS Workshop on "Structured Input - Structured Output" (NIPS SISO), December 2008 (inproceedings)

**Metropolis Algorithms for Representative Subgraph Sampling**
In pages: 283-292, (Editors: Giannotti, F.), IEEE, Piscataway, NJ, USA, Eighth IEEE International Conference on Data Mining (ICDM '08) , December 2008 (inproceedings)

**Frequent Subgraph Retrieval in Geometric Graph Databases**
In *ICDM 2008*, pages: 953-958, (Editors: Giannotti, F. , D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu), IEEE Computer Society, Los Alamitos, CA, USA, 8th IEEE International Conference on Data Mining, December 2008 (inproceedings)

**Block Iterative Algorithms for Non-negative Matrix Approximation**
In *ICDM 2008*, pages: 1037-1042, (Editors: Giannotti, F. , D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu), IEEE Service Center, Piscataway, NJ, USA, Eighth IEEE International Conference on Data Mining, December 2008 (inproceedings)

**A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation**
In *ICMLA 2008*, pages: 3-9, (Editors: Wani, M. A., X.-W. Chen, D. Casasent, L. Kurgan, T. Hu, K. Hafeez), IEEE Computer Society, Los Alamitos, CA, USA, 7th International Conference on Machine Learning and Applications, December 2008 (inproceedings)

**Infinite Kernel Learning**
In *Proceedings of the NIPS 2008 Workshop on "Kernel Learning: Automatic Selection of Optimal Kernels"*, pages: 1-4, NIPS Workshop on "Kernel Learning: Automatic Selection of Optimal Kernels" (LK ASOK´08), December 2008 (inproceedings)

**Logistic Regression for Graph Classification**
NIPS Workshop on "Structured Input - Structured Output" (NIPS SISO), December 2008 (talk)

**Prediction-Directed Compression of POMDPs**
In *ICMLA 2008*, pages: 99-105, (Editors: Wani, M. A., X.-W. Chen, D. Casasent, L. A. Kurgan, T. Hu, K. Hafeez), IEEE, Piscataway, NJ, USA, Seventh International Conference on Machine Learning and Applications, December 2008 (inproceedings)

**New Projected Quasi-Newton Methods with Applications**
Microsoft Research Tech-talk, December 2008 (talk)

**Iterative Subgraph Mining for Principal Component Analysis**
In *ICDM 2008*, pages: 1007-1012, (Editors: Giannotti, F. , D. Gunopulos, F. Turini, C. Zaniolo, N. Ramakrishnan, X. Wu), IEEE Computer Society, Los Alamitos, CA, USA, IEEE International Conference on Data Mining, December 2008 (inproceedings)

**Modelling contrast discrimination data suggest both the pedestal effect and stochastic resonance to be caused by the same mechanism**
*Journal of Vision*, 8(15):1-21, November 2008 (article)

**Frequent Subgraph Retrieval in Geometric Graph Databases**
(180), Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, November 2008 (techreport)

**The Effect of Mutual Information on Independent Component Analysis in EEG/MEG Analysis: A Simulation Study**
*International Journal of Neuroscience*, 118(11):1534-1546, November 2008 (article)

**gBoost: A Mathematical Programming Approach to Graph Classification and Regression**
*Machine Learning*, 75(1):69-89, November 2008 (article)

**Variational Bayesian Model Selection in Linear Gaussian State-Space based Models**
*International Workshop on Flexible Modelling: Smoothing and Robustness (FMSR 2008)*, 2008, pages: 1, November 2008 (poster)

**Machine Learning for Motor Skills in Robotics**
*K{\"u}nstliche Intelligenz*, 2008(4):41-43, November 2008 (article)