905 results
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**ICA with Sparse Connections: Revisited **
In *Independent Component Analysis and Signal Separation*, pages: 195-202, (Editors: Adali, T. , Christian Jutten, J.M. Travassos Romano, A. Kardec Barros), Springer, Berlin, Germany, 8th International Conference on Independent Component Analysis and Signal Separation (ICA), March 2009 (inproceedings)

**Tech-note: Iterative design and test of a multimodal experience**
In *Proceedings of the IEEE Symposium on 3D User Interfaces (3DUI 2009)*, pages: 99-102, (Editors: Kiyokawa, K. , S. Coquillart, R. Balakrishnan), IEEE Service Center, Piscataway, NJ, USA, IEEE Symposium on 3D User Interfaces (3DUI), March 2009 (inproceedings)

**Protein Functional Class Prediction With a Combined Graph**
*Expert Systems with Applications*, 36(2):3284-3292, March 2009 (article)

**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)

**Global Biclustering of Microarray Data**
In *ICDMW 2006*, pages: 125-129, (Editors: Tsumoto, S. , C. W. Clifton, N. Zhong, X. Wu, J. Liu, B. W. Wah, Y.-M. Cheung), IEEE Computer Society, Los Alamitos, CA, USA, Sixth IEEE International Conference on Data Mining, December 2006 (inproceedings)

**Conformal Multi-Instance Kernels**
In *NIPS 2006 Workshop on Learning to Compare Examples*, pages: 1-6, NIPS Workshop on Learning to Compare Examples, December 2006 (inproceedings)

**Some observations on the pedestal effect or dipper function**
*Journal of Vision*, 6(13):50, 2006 Fall Vision Meeting of the Optical Society of America, December 2006 (poster)

**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)

**Reinforcement Learning by Reward-Weighted Regression**
NIPS Workshop: Towards a New Reinforcement Learning? , December 2006 (talk)

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

**A New Projected Quasi-Newton Approach for the Nonnegative Least Squares Problem**
(TR-06-54), Univ. of Texas, Austin, December 2006 (techreport)

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

**Information-theoretic Metric Learning**
In *NIPS 2006 Workshop on Learning to Compare Examples*, pages: 1-5, NIPS Workshop on Learning to Compare Examples, December 2006 (inproceedings)

**Pattern Mining in Frequent Dynamic Subgraphs**
In pages: 818-822, (Editors: Clifton, C.W.), IEEE Computer Society, Los Alamitos, CA, USA, Sixth International Conference on Data Mining (ICDM), December 2006 (inproceedings)

**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)

**Probabilistic inference for solving (PO)MDPs**
(934), School of Informatics, University of Edinburgh, December 2006 (techreport)

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

**Minimal Logical Constraint Covering Sets**
(155), Max Planck Institute for Biological Cybernetics, Tübingen, December 2006 (techreport)

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