453 results
(View BibTeX file of all listed publications)

**Kernel Bayes’ Rule**
In *Advances in Neural Information Processing Systems 24*, pages: 1737-1745, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Optimal Reinforcement Learning for Gaussian Systems**
In *Advances in Neural Information Processing Systems 24*, pages: 325-333, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Efficient inference in matrix-variate Gaussian models with iid observation noise**
In *Advances in Neural Information Processing Systems 24*, pages: 630-638, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Expectation Propagation for the Estimation of Conditional Bivariate Copulas**
In pages: 2, NIPS, Workshop on Copulas in Machine Learning, 2011 (inproceedings)

**Efficient Similarity Search for Covariance Matrices via the Jensen-Bregman LogDet Divergence**
In *IEEE International Conference on Computer Vision, ICCV 2011*, pages: 2399-2406, (Editors: DN Metaxas and L Quan and A Sanfeliu and LJ Van Gool), IEEE, 13th International Conference on Computer Vision (ICCV), 2011 (inproceedings)

**Introducing the detection of auditory error responses based on BCI technology for passive interaction**
In *Proceedings of the 5th International Brain–Computer Interface Conference*, pages: 252-255, (Editors: GR Müller-Putz and R Scherer and M Billinger and A Kreilinger and V Kaiser and C Neuper), Graz: Verlag der Technischen Universität, 2011 (inproceedings)

**Phase transition in the family of p-resistances**
In *Advances in Neural Information Processing Systems 24*, pages: 379-387, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Generalized Dictionary Learning for Symmetric Positive Definite Matrices with Application to Nearest Neighbor Retrieval**
In *Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, LNCS vol 6913, Part III*, pages: 318-332, (Editors: D Gunopulos and T Hofmann and D Malerba and M Vazirgiannis), Springer, 22th European Conference on Machine Learning (ECML), 2011 (inproceedings)

**Restricted boltzmann machines as useful tool for detecting oscillatory eeg components**
In *Proceedings of the 5th International Brain–Computer Interface Conference*, pages: 68-71, (Editors: GR Müller-Putz and R Scherer and M Billinger and A Kkreilinger and V Kaiser and C Neuper), Graz: Verlag der Technischen Universität, 2011 (inproceedings)

**Hierarchical Multitask Structured Output Learning for Large-scale Sequence Segmentation**
In *Advances in Neural Information Processing Systems 24*, pages: 2690-2698, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and FCN Pereira and KQ Weinberger), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**On Fast Approximate Submodular Minimization**
In *Advances in Neural Information Processing Systems 24*, pages: 460-468, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**PAC-Bayesian Analysis of Contextual Bandits **
In *Advances in Neural Information Processing Systems 24*, pages: 1683-1691, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Fast projections onto L1,q-norm balls for grouped feature selection**
In *Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, LNCS vol 6913, Part III*, pages: 305-317, (Editors: D Gunopulos and T Hofmann and D Malerba and M Vazirgiannis), Springer, 22th European Conference on Machine Learning (ECML), 2011 (inproceedings)

**Kernel Belief Propagation**
In *Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Vol. 15*, pages: 707-715, (Editors: G Gordon and D Dunson and M Dudík), JMLR, AISTATS, 2011 (inproceedings)

**On Causal Discovery with Cyclic Additive Noise Models**
In *Advances in Neural Information Processing Systems 24*, pages: 639-647, (Editors: J Shawe-Taylor and RS Zemel and PL Bartlett and FCN Pereira and KQ Weinberger), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Additive Gaussian Processes**
In *Advances in Neural Information Processing Systems 24*, pages: 226-234, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**k-NN Regression Adapts to Local Intrinsic Dimension**
In *Advances in Neural Information Processing Systems 24*, pages: 729-737, (Editors: J Shawe-Taylor and RS Zemel and P Bartlett and F Pereira and KQ Weinberger), Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Fast Newton-type Methods for Total-Variation with Applications**
In *Proceedings of the 28th International Conference on Machine Learning, ICML 2011*, pages: 313-320, (Editors: L Getoor and T Scheffer), Omnipress, 28th International Conference on Machine Learning (ICML), 2011 (inproceedings)

**Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees **
In *Proceedings of the 14th International Conference on Artificial Intelligence and Statistics, Vol. 15*, pages: 324-332, (Editors: G Gordon and D Dunson and M Dudík), JMLR, AISTATS, 2011 (inproceedings)

**Access to Unlabeled Data can Speed up Prediction Time**
In *Proceedings of the 28th International Conference on Machine Learning*, pages: 641-648, ICML, 2011 (inproceedings)

**Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance**
In *Advances in Neural Information Processing Systems 24*, pages: 765-773, (Editors: Shawe-Taylor, John and Zemel, Richard S. and Bartlett, Peter L. and Pereira, Fernando C. N. and Weinberger, Kilian Q.), Curran Associates, Inc., Red Hook, NY, USA, Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS), 2011 (inproceedings)

**Pattern Selection Using the Bias and Variance of Ensemble**
In *Proc. of the Korean Data Mining Conference*, pages: 56-67, Korean Data Mining Conference, December 2001 (inproceedings)

**Separation of post-nonlinear mixtures using ACE and temporal decorrelation**
In *ICA 2001*, pages: 433-438, (Editors: Lee, T.-W. , T.P. Jung, S. Makeig, T. J. Sejnowski), Third International Workshop on Independent Component Analysis and Blind Signal Separation, December 2001 (inproceedings)

**Anabolic and Catabolic Gene Expression Pattern Analysis in Normal Versus Osteoarthritic Cartilage Using Complementary DNA-Array Technology**
*Arthritis and Rheumatism*, 44(12):2777-2789, December 2001 (article)

**Nonlinear blind source separation using kernel feature spaces**
In *ICA 2001*, pages: 102-107, (Editors: Lee, T.-W. , T.P. Jung, S. Makeig, T. J. Sejnowski), Third International Workshop on Independent Component Analysis and Blind Signal Separation, December 2001 (inproceedings)

**Pattern Selection for Regression using the Bias and Variance of Ensemble Network**
In *Proc. of the Korean Institute of Industrial Engineers Conference*, pages: 10-19, Korean Industrial Engineers Conference, November 2001 (inproceedings)

**Pattern Selection for Classification using the Bias and Variance of Ensemble Neural Network**
In *Proc. of the Korea Information Science Conference*, pages: 307-309, Korea Information Science Conference, October 2001, Best Paper Award (inproceedings)

**Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators**
*IEEE Transactions on Information Theory*, 47(6):2516-2532, September 2001 (article)

**Hybrid IDM/Impedance learning in human movements**
In *ISHF 2001*, 1, pages: 1-9, 1st International Symposium on Measurement, Analysis and Modeling of Human Functions (ISHF2001), September 2001 (inproceedings)

**Combining Off- and On-line Calibration of a Digital Camera**
In *In Proceedings of Third International Conference on 3-D Digital Imaging and Modeling*, pages: 99-106, In Proceedings of Third International Conference on 3-D Digital Imaging and Modeling, June 2001 (inproceedings)

**Regularized principal manifolds**
*Journal of Machine Learning Research*, 1, pages: 179-209, June 2001 (article)

**Centralization: A new method for the normalization of gene expression data**
*Bioinformatics*, 17, pages: S323-S331, June 2001, Mathematical supplement available at http://citeseer.ist.psu.edu/574280.html (article)

**Failure Diagnosis of Discrete Event Systems**
*Journal of Control, Automation and Systems Engineering*, 7(5):375-383, May 2001, In Korean (article)

**Support vector novelty detection applied to jet engine vibration spectra**
In *Advances in Neural Information Processing Systems 13*, pages: 946-952, (Editors: TK Leen and TG Dietterich and V Tresp), MIT Press, Cambridge, MA, USA, 14th Annual Neural Information Processing Systems Conference (NIPS), April 2001 (inproceedings)

**Four-legged Walking Gait Control Using a Neuromorphic Chip Interfaced to a Support Vector Learning Algorithm**
In *Advances in Neural Information Processing Systems 13*, pages: 741-747, (Editors: TK Leen and TG Dietterich and V Tresp), MIT Press, Cambridge, MA, USA, 14th Annual Neural Information Processing Systems Conference (NIPS), April 2001 (inproceedings)

**Algorithmic Stability and Generalization Performance**
In *Advances in Neural Information Processing Systems 13*, pages: 196-202, (Editors: Leen, T.K. , T.G. Dietterich, V. Tresp), MIT Press, Cambridge, MA, USA, Fourteenth Annual Neural Information Processing Systems Conference (NIPS), April 2001 (inproceedings)

**The Kernel Trick for Distances**
In *Advances in Neural Information Processing Systems 13*, pages: 301-307, (Editors: TK Leen and TG Dietterich and V Tresp), MIT Press, Cambridge, MA, USA, 14th Annual Neural Information Processing Systems Conference (NIPS), April 2001 (inproceedings)

**Vicinal Risk Minimization**
In *Advances in Neural Information Processing Systems 13*, pages: 416-422, (Editors: Leen, T.K. , T.G. Dietterich, V. Tresp), MIT Press, Cambridge, MA, USA, Fourteenth Annual Neural Information Processing Systems Conference (NIPS) , April 2001 (inproceedings)

**Feature Selection for SVMs**
In *Advances in Neural Information Processing Systems 13*, pages: 668-674, (Editors: Leen, T.K. , T.G. Dietterich, V. Tresp), MIT Press, Cambridge, MA, USA, Fourteenth Annual Neural Information Processing Systems Conference (NIPS), April 2001 (inproceedings)

**Occam’s Razor**
In *Advances in Neural Information Processing Systems 13*, pages: 294-300, (Editors: Leen, T.K. , T.G. Dietterich, V. Tresp), MIT Press, Cambridge, MA, USA, Fourteenth Annual Neural Information Processing Systems Conference (NIPS), April 2001 (inproceedings)

**Pattern Selection Using the Bias and Variance of Ensemble**
*Journal of the Korean Institute of Industrial Engineers*, 28(1):112-127, March 2001 (article)

**Structure and Functionality of a Designed p53 Dimer.**
*Journal of Molecular Biology*, 307(2):605-617, March 2001 (article)

**An Introduction to Kernel-Based Learning Algorithms**
*IEEE Transactions on Neural Networks*, 12(2):181-201, March 2001 (article)

**Estimating the support of a high-dimensional distribution.**
*Neural Computation*, 13(7):1443-1471, March 2001 (article)

**An Improved Training Algorithm for Kernel Fisher Discriminants**
In *Proceedings AISTATS*, pages: 98-104, (Editors: T Jaakkola and T Richardson), Morgan Kaufman, San Francisco, CA, Artificial Intelligence and Statistics (AISTATS), January 2001 (inproceedings)

**The psychometric function: II. Bootstrap-based confidence intervals and sampling**
*Perception and Psychophysics*, 63 (8), pages: 1314-1329, 2001 (article)

**Nonstationary Signal Classification using Support Vector Machines**
In *11th IEEE Workshop on Statistical Signal Processing*, pages: 305-305, 11th IEEE Workshop on Statistical Signal Processing, 2001 (inproceedings)

**Enhanced User Authentication through Typing Biometrics with Artificial Neural Networks and K-Nearest Neighbor Algorithm**
In 2001 (inproceedings)

**Predicting the Nonlinear Dynamics of Biological Neurons using Support Vector Machines with Different Kernels**
In *Proceedings of the International Joint Conference on Neural Networks (IJCNN'2001) Washington DC*, 2, pages: 1492-1497, Proceedings of the International Joint Conference on Neural Networks (IJCNN'2001) Washington DC, 2001 (inproceedings)

**Computationally Efficient Face Detection**
In *Computer Vision, ICCV 2001, vol. 2*, (73):695-700, IEEE, 8th International Conference on Computer Vision, 2001 (inproceedings)