178 results
(BibTeX)

**Methods for feature selection in a learning machine**
United States Patent, No 7624074, November 2009 (patent)

**Acquiring web page information without commitment to downloading the web page**
United States Patent, No 7565409, July 2009 (patent)

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

**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)

**Learning Probabilistic Models via Bayesian Inverse Planning**
NIPS Workshop on Probabilistic Approaches for Robotics and Control, December 2009 (poster)

**Qualia: The Geometry of Integrated Information**
*PLoS Computational Biology*, 5(8):1-24, August 2009 (article)

**Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective **
In *Machine Learning and Knowledge Discovery in Databases*, pages: 570-585, (Editors: Buntine, W. , M. Grobelnik, D. Mladenić, J. Shawe-Taylor ), Springer, Berlin, Germany, European Conference on Machine Learning and Knowledge Discovery in Databases: Part II (ECML PKDD '09), September 2009 (inproceedings)

**A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples **
*IEEE Transactions on Geoscience and Remote Sensing*, 47(7):2142-2154, July 2009 (article)

**Expectation Propagation on the Maximum of Correlated Normal Variables**
Cavendish Laboratory: University of Cambridge, July 2009 (techreport)

**Thermodynamic efficiency of information and heat flow**
*Journal of Statistical Mechanics: Theory and Experiment*, 2009(09):P09011, September 2009 (article)

**Nearest Neighbor Clustering: A Baseline Method for Consistent Clustering with Arbitrary Objective Functions**
*Journal of Machine Learning Research*, 10, pages: 657-698, March 2009 (article)

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

**Does Cognitive Science Need Kernels?**
*Trends in Cognitive Sciences*, 13(9):381-388, September 2009 (article)

**Efficient Subwindow Search: A Branch and Bound Framework for Object Localization**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 31(12):2129-2142, December 2009 (article)

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

**Guest editorial: Special issue on robot learning, Part B**
*Autonomous Robots*, 27(2):91-92, August 2009 (article)

**Implicit Wiener Series Analysis of Epileptic Seizure Recordings**
In *EMBC 2009*, pages: 5304-5307, (Editors: Y Kim and B He and G Worrell and X Pan), IEEE Service Center, Piscataway, NJ, USA, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, September 2009 (inproceedings)

**Varieties of Justification in Machine Learning**
In *Proceedings of Multiplicity and Unification in Statistics and Probability*, pages: 1-10, Multiplicity and Unification in Statistics and Probability, June 2009 (inproceedings)

**Denoising photographs using dark frames optimized by quadratic programming**
In *Proceedings of the First IEEE International Conference on Computational Photography (ICCP 2009)*, pages: 1-9, IEEE, Piscataway, NJ, USA, First IEEE International Conference on Computational Photography (ICCP), April 2009 (inproceedings)

**Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance**
In *Advances in neural information processing systems 21*, pages: 665-672, (Editors: D Koller and D Schuurmans and Y Bengio and L Bottou), Curran, Red Hook, NY, USA, 22nd Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)

**Incorporating Prior Knowledge on Class Probabilities into Local Similarity Measures for Intermodality Image Registration**
In *Proceedings of the MICCAI 2009 Workshop on Probabilistic Models for Medical Image Analysis *, pages: 220-231, (Editors: W Wells and S Joshi and K Pohl), PMMIA, September 2009 (inproceedings)

**On Pairwise Kernels: An Efficient Alternative and Generalization Analysis**
In *Advances in Knowledge Discovery and Data Mining: 13th Pacific-Asia Conference*, pages: 1030-1037, (Editors: Theeramunkong, T. , B. Kijsirikul, N. Cercone, T. B. Ho), Springer, Berlin, Germany, PAKDD, April 2009 (inproceedings)

**Convex Perturbations for Scalable Semidefinite Programming**
In *JMLR Workshop and Conference Proceedings Volume 5: AISTATS 2009*, pages: 296-303, (Editors: van Dyk, D. , M. Welling), MIT Press, Cambridge, MA, USA, Twelfth International Conference on Artificial Intelligence and Statistics, April 2009 (inproceedings)

**Influence of graph construction on graph-based clustering measures**
In *Advances in neural information processing systems 21*, pages: 1025-1032, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)

**Local Gaussian Process Regression for Real Time Online Model Learning and Control**
In *Advances in neural information processing systems 21*, pages: 1193-1200, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)

**Detecting the Direction of Causal Time Series**
In *Proceedings of the 26th International Conference on Machine Learning*, pages: 801-808, (Editors: A Danyluk and L Bottou and ML Littman), ACM Press, New York, NY, USA, ICML, June 2009 (inproceedings)

**Inference algorithms and learning theory for Bayesian sparse factor analysis**
*Journal of Physics: Conference Series *, *IW-SMI 2009*, 197(1: International Workshop on Statistical-Mechanical Informatics 2009):1-10, (Editors: Inoue, M. , S. Ishii, Y. Kabashima, M. Okada), Institute of Physics, Bristol, UK, International Workshop on Statistical-Mechanical Informatics (IW-SMI), September 2009 (article)

**Block Jacobi-type methods for non-orthogonal joint diagonalisation**
In *ICASSP09*, pages: 3285-3288, IEEE Service Center, Piscataway, NJ, USA, 34th International Conference on Acoustics, Speech, and Signal Processing, April 2009 (inproceedings)

**Near-optimal supervised feature selection among frequent subgraphs**
In *Proccedings of the 2009 SIAM Conference on Data Mining (SDM 2009)*, pages: 1076-1087, (Editors: Park, H. , S. Parthasarathy, H. Liu), Philadelphia, PA, USA, Society for Industrial and Applied Mathematics, 9th SIAM Conference on Data Mining (SDM), May 2009 (inproceedings)

**Text Clustering with Mixture of von Mises-Fisher Distributions**
In *Text mining: classification, clustering, and applications*, pages: 121-161, Chapman & Hall/CRC data mining and knowledge discovery series, (Editors: Srivastava, A. N. and Sahami, M.), CRC Press, Boca Raton, FL, USA, June 2009 (inbook)

**Semi-supervised subspace analysis of human functional magnetic resonance imaging data**
(185), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2009 (techreport)

**Estimating Critical Stimulus Features from Psychophysical Data: The Decision-Image Technique Applied to Human Faces**
*Journal of Vision*, 9(8):31, 9th Annual Meeting of the Vision Sciences Society (VSS), August 2009 (poster)

**A PAC-Bayesian Approach to Structure Learning**
Biologische Kybernetik, The Hebrew University of Jerusalem, Israel, September 2009 (phdthesis)

**Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer**
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2009 (talk)

**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)

**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 To Detect Unseen Object Classes by Between-Class Attribute Transfer**
In *CVPR 2009*, pages: 951-958, IEEE Service Center, Piscataway, NJ, USA, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2009 (inproceedings)

**Model selection, large deviations and consistency of data-driven tests**
(2009-007), EURANDOM, Technische Universiteit Eindhoven, March 2009 (techreport)

**Automatic classification of brain resting states using fMRI temporal signals **
*Electronics Letters*, 45(1):19-21, January 2009 (article)

**Bayesian Quadratic Reinforcement Learning**
NIPS Workshop on Probabilistic Approaches for Robotics and Control, December 2009 (poster)

**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)

**Falsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis Dimensions**
*Journal for General Philosophy of Science*, 40(1):51-58, July 2009 (article)