484 results
(View BibTeX file of all listed publications)

Bousquet, O.
**Introduction to Category Theory**
Internal Seminar, January 2004 (talk)

**Local Alignment Kernels for Biological Sequences**
In *Kernel Methods in Computational Biology*, pages: 131-153, MIT Press, Cambridge, MA,, 2004 (inbook)

**Unifying Colloborative and Content-Based Filtering.**
In *ACM International Conference Proceeding Series*, pages: 65 , (Editors: Greiner, R. , D. Schuurmans), ACM Press, New York, USA, ICLM, 2004 (inproceedings)

**Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models**
In *Pacific Symposium on Biocomputing 2004; Vol. 9*, pages: 399-410, World Scientific Publishing, Singapore, Pacific Symposium on Biocomputing, 2004 (inproceedings)

**Efficient Approximations for Support Vector Machines in Object Detection**
In *DAGM 2004*, pages: 54-61, (Editors: CE Rasmussen and HH Bülthoff and B Schölkopf and MA Giese), Springer, Berlin, Germany, Pattern Recognition, Proceedings of the 26th DAGM Symposium, 2004 (inproceedings)

**Kernel Methods for Manifold Estimation**
In *Proceedings in Computational Statistics*, pages: 441-452, (Editors: J Antoch), Physica-Verlag/Springer, Heidelberg, Germany, COMPSTAT, 2004 (inproceedings)

**A Regularization Framework for Learningfrom Graph Data**
In *ICML Workshop on Statistical Relational Learning and Its Connections to Other Fields*, pages: 132-137, ICML, 2004 (inproceedings)

**Gaussian Processes in Machine Learning**
In 3176, pages: 63-71, Lecture Notes in Computer Science, (Editors: Bousquet, O., U. von Luxburg and G. Rätsch), Springer, Heidelberg, 2004, Copyright by Springer (inbook)

**A kernel view of the dimensionality reduction of manifolds**
In *Proceedings of the Twenty-First International Conference on Machine Learning*, pages: 369-376, (Editors: CE Brodley), ACM, New York, NY, USA, ICML, 2004, also appeared as MPI-TR 110 (inproceedings)

**Protein Functional Class Prediction with a Combined Graph**
In *Proceedings of the Korean Data Mining Conference*, pages: 200-219, Proceedings of the Korean Data Mining Conference, 2004 (inproceedings)

**Learning from Labeled and Unlabeled Data Using Random Walks**
In *Pattern Recognition, Proceedings of the 26th DAGM Symposium*, pages: 237-244, (Editors: Rasmussen, C.E., H.H. Bülthoff, M.A. Giese and B. Schölkopf), Pattern Recognition, Proceedings of the 26th DAGM Symposium, 2004 (inproceedings)

**Multivariate Regression via Stiefel Manifold Constraints**
In *Lecture Notes in Computer Science, Vol. 3175*, pages: 262-269, (Editors: CE Rasmussen and HH Bülthoff and B Schölkopf and MA Giese), Springer, Berlin, Germany, Pattern Recognition, Proceedings of the 26th DAGM Symposium, 2004 (inproceedings)

**Implicit estimation of Wiener series**
In *Machine Learning for Signal Processing XIV, Proc. 2004 IEEE Signal Processing Society Workshop*, pages: 735-744, (Editors: A Barros and J Principe and J Larsen and T Adali and S Douglas), IEEE, New York, Machine Learning for Signal Processing XIV, Proc. IEEE Signal Processing Society Workshop, 2004 (inproceedings)

**Hilbertian Metrics on Probability Measures and their Application in SVM’s**
In *Pattern Recognition, Proceedings of th 26th DAGM Symposium*, 3175, pages: 270-277, Lecture Notes in Computer Science, (Editors: Rasmussen, C. E., H. H. Bülthoff, M. Giese and B. Schölkopf), Pattern Recognition, Proceedings of th 26th DAGM Symposium, 2004 (inproceedings)

**Gasussian process model based predictive control**
In *Proceedings of the ACC 2004*, pages: 2214-2219, Proceedings of the ACC, 2004 (inproceedings)

**A New Variational Framework for Rigid-Body Alignment**
In *Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR 2004) and Statistical Pattern Recognition (SPR 2004)*, pages: 171-179, (Editors: Fred, A.,T. Caelli, R.P.W. Duin, A. Campilho and D. de Ridder), Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition (SSPR) and Statistical Pattern Recognition (SPR), 2004 (inproceedings)

**Protein Classification via Kernel Matrix Completion**
In pages: 261-274, (Editors: Schoelkopf, B., K. Tsuda and J.P. Vert), MIT Press, Cambridge, MA; USA, 2004 (inbook)

**Practical Method for Blind Inversion of Wiener Systems**
In *Proceedings of International Joint Conference on Neural Networks (IJCNN 2004)*, pages: 2163-2168, International Joint Conference on Neural Networks (IJCNN), 2004, Volume 3 (inproceedings)

**Semi-supervised kernel regression using whitened function classes**
In *Pattern Recognition, Proceedings of the 26th DAGM Symposium, Lecture Notes in Computer Science, Vol. 3175*, LNCS 3175, pages: 18-26, (Editors: CE Rasmussen and HH Bülthoff and MA Giese and B Schölkopf), Springer, Berlin, Gerrmany, 26th DAGM Symposium, 2004 (inproceedings)

**Maximal Margin Classification for Metric Spaces**
In *Learning Theory and Kernel Machines*, pages: 72-86, (Editors: Schölkopf, B. and Warmuth, M. K.), Springer, Heidelberg, Germany, 16. Annual Conference on Computational Learning Theory / COLT Kernel, 2004 (inproceedings)

**On the Convergence of Spectral Clustering on Random Samples: The Normalized Case**
In *Proceedings of the 17th Annual Conference on Learning Theory*, pages: 457-471, Proceedings of the 17th Annual Conference on Learning Theory, 2004 (inproceedings)

**Introduction to Statistical Learning Theory**
In Lecture Notes in Artificial Intelligence 3176, pages: 169-207, (Editors: Bousquet, O., U. von Luxburg and G. Rätsch), Springer, Heidelberg, Germany, 2004 (inbook)

**A Primer on Kernel Methods**
In *Kernel Methods in Computational Biology*, pages: 35-70, (Editors: B Schölkopf and K Tsuda and JP Vert), MIT Press, Cambridge, MA, USA, 2004 (inbook)

**Concentration Inequalities**
In Lecture Notes in Artificial Intelligence 3176, pages: 208-240, (Editors: Bousquet, O., U. von Luxburg and G. Rätsch), Springer, Heidelberg, Germany, 2004 (inbook)

**Kernels for graphs**
In pages: 155-170, (Editors: Schoelkopf, B., K. Tsuda and J.P. Vert), MIT Press, Cambridge, MA; USA, 2004 (inbook)

**A primer on molecular biology**
In pages: 3-34, (Editors: Schoelkopf, B., K. Tsuda and J. P. Vert), MIT Press, Cambridge, MA, USA, 2004 (inbook)

Bousquet, O.
**Advanced Statistical Learning Theory**
Machine Learning Summer School, 2004 (talk)

**Learning Movement Primitives**
In *11th International Symposium on Robotics Research (ISRR2003)*, pages: 561-572, (Editors: Dario, P. and Chatila, R.), Springer, ISRR, 2004, clmc (inproceedings)

**Gender Classification of Human Faces**
In *Biologically Motivated Computer Vision*, pages: 1-18, (Editors: Bülthoff, H. H., S.W. Lee, T. A. Poggio and C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV), November 2002 (inproceedings)

**Insect-Inspired Estimation of Self-Motion**
In *Biologically Motivated Computer Vision*, (2525):171-180, LNCS, (Editors: Bülthoff, H.H. , S.W. Lee, T.A. Poggio, C. Wallraven), Springer, Berlin, Germany, Second International Workshop on Biologically Motivated Computer Vision (BMCV), November 2002 (inproceedings)

**Combining sensory Information to Improve Visualization**
In *Proceedings of the Conference on Visualization ‘02 (VIS ‘02)*, pages: 571-574, (Editors: Moorhead, R. , M. Joy), IEEE, Piscataway, NJ, USA, IEEE Conference on Visualization (VIS '02), October 2002 (inproceedings)

**Sampling Techniques for Kernel Methods **
In *Advances in neural information processing systems 14 *, pages: 335-342, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**The Infinite Hidden Markov Model**
In *Advances in Neural Information Processing Systems 14*, pages: 577-584, (Editors: Dietterich, T.G. , S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**A new discriminative kernel from probabilistic models**
In *Advances in Neural Information Processing Systems 14*, pages: 977-984, (Editors: Dietterich, T.G. , S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Incorporating Invariances in Non-Linear Support Vector Machines **
In *Advances in Neural Information Processing Systems 14*, pages: 609-616, (Editors: TG Dietterich and S Becker and Z Ghahramani), MIT Press, Cambridge, MA, USA, 15th Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Kernel feature spaces and nonlinear blind source separation**
In *Advances in Neural Information Processing Systems 14*, pages: 761-768, (Editors: Dietterich, T. G., S. Becker, Z. Ghahramani), MIT Press, Cambridge, MA, USA, Fifteenth Annual Neural Information Processing Systems Conference (NIPS), September 2002 (inproceedings)

**Algorithms for Learning Function Distinguishable Regular Languages**
In *Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition*, pages: 64-73, (Editors: Caelli, T. , A. Amin, R. P.W. Duin, M. Kamel, D. de Ridder), Springer, Berlin, Germany, Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, August 2002 (inproceedings)

**Decision Boundary Pattern Selection for Support Vector Machines**
In *Proc. of the Korean Data Mining Conference*, pages: 33-41, Korean Data Mining Conference, May 2002 (inproceedings)

**k-NN based Pattern Selection for Support Vector Classifiers**
In *Proc. of the Korean Industrial Engineers Conference*, pages: 645-651, Korean Industrial Engineers Conference, May 2002 (inproceedings)

**Microarrays: How Many Do You Need?**
In *RECOMB 2002*, pages: 321-330, ACM Press, New York, NY, USA, Sixth Annual International Conference on Research in Computational Molecular Biology, April 2002 (inproceedings)

**Pattern Selection for Support Vector Classifiers**
In *Ideal 2002*, pages: 97-103, (Editors: Yin, H. , N. Allinson, R. Freeman, J. Keane, S. Hubbard), Springer, Berlin, Germany, Third International Conference on Intelligent Data Engineering and Automated Learning, January 2002 (inproceedings)

Bousquet, O.
**Transductive Learning: Motivation, Models, Algorithms**
January 2002 (talk)

**The leave-one-out kernel**
In *Artificial Neural Networks -- ICANN 2002*, 2415, pages: 727-732, LNCS, (Editors: Dorronsoro, J. R.), Artificial Neural Networks -- ICANN, 2002 (inproceedings)

**Localized Rademacher Complexities**
In *Proceedings of the 15th annual conference on Computational Learning Theory*, pages: 44-58, Proceedings of the 15th annual conference on Computational Learning Theory, 2002 (inproceedings)

**Film Cooling: A Comparative Study of Different Heaterfoil Configurations for Liquid Crystals Experiments**
In *ASME TURBO EXPO 2002, Amsterdam*, GT-2002-30552, ASME TURBO EXPO, Amsterdam, 2002 (inproceedings)

**Some Local Measures of Complexity of Convex Hulls and Generalization Bounds**
In *Proceedings of the 15th annual conference on Computational Learning Theory*, Proceedings of the 15th annual conference on Computational Learning Theory, 2002 (inproceedings)

**A kernel approach for learning from almost orthogonal patterns**
In *Principles of Data Mining and Knowledge Discovery, Lecture Notes in Computer Science*, 2430/2431, pages: 511-528, Lecture Notes in Computer Science, (Editors: T Elomaa and H Mannila and H Toivonen), Springer, Berlin, Germany, 13th European Conference on Machine Learning (ECML) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2002), 2002 (inproceedings)

**Infinite Mixtures of Gaussian Process Experts**
In (Editors: Dietterich, Thomas G.; Becker, Suzanna; Ghahramani, Zoubin), 2002 (inproceedings)

**Marginalized kernels for RNA sequence data analysis**
In *Genome Informatics 2002*, pages: 112-122, (Editors: Lathtop, R. H.; Nakai, K.; Miyano, S.; Takagi, T.; Kanehisa, M.), Genome Informatics, 2002, (Best Paper Award) (inproceedings)

**Luminance Artifacts on CRT Displays**
In *IEEE Visualization*, pages: 571-574, (Editors: Moorhead, R.; Gross, M.; Joy, K. I.), IEEE Visualization, 2002 (inproceedings)