417 results
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**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)

**Navigation mit Schnappschüssen**
In *Mustererkennung 1998*, pages: 421-428, (Editors: P Levi and R-J Ahlers and F May and M Schanz), Springer, Berlin, Germany, 20th DAGM-Symposium, October 1998 (inproceedings)

**Prior knowledge in support vector kernels**
In *Advances in Neural Information Processing Systems 10*, pages: 640-646 , (Editors: M Jordan and M Kearns and S Solla ), MIT Press, Cambridge, MA, USA, Eleventh Annual Conference on Neural Information Processing (NIPS), June 1998 (inproceedings)

**From regularization operators to support vector kernels**
In *Advances in Neural Information Processing Systems 10*, pages: 343-349, (Editors: M Jordan and M Kearns and S Solla), MIT Press, Cambridge, MA, USA, 11th Annual Conference on Neural Information Processing (NIPS), June 1998 (inproceedings)

**Qualitative Modeling for Data Miners Requirements**
In *Proc. of the Korean Management Information Systems*, pages: 65-73, Conference on the Korean Management Information Systems, April 1998 (inproceedings)

**Fast approximation of support vector kernel expansions, and an interpretation of clustering as approximation in feature spaces.**
In *Mustererkennung 1998*, pages: 125-132, Informatik aktuell, (Editors: P Levi and M Schanz and R-J Ahlers and F May), Springer, Berlin, Germany, 20th DAGM-Symposium, 1998 (inproceedings)

**Kernel PCA pattern reconstruction via approximate pre-images.**
In *8th International Conference on Artificial Neural Networks*, pages: 147-152, Perspectives in Neural Computing, (Editors: L Niklasson and M Boden and T Ziemke), Springer, Berlin, Germany, 8th International Conference on Artificial Neural Networks, 1998 (inproceedings)

**Support Vector methods in learning and feature extraction**
*Ninth Australian Conference on Neural Networks*, pages: 72-78, (Editors: T. Downs, M. Frean and M. Gallagher), 1998 (talk)

**Convex Cost Functions for Support Vector Regression**
In *8th International Conference on Artificial Neural Networks*, pages: 99-104, Perspectives in Neural Computing, (Editors: L Niklasson and M Boden and T Ziemke), Springer, Berlin, Germany, 8th International Conference on Artificial Neural Networks, 1998 (inproceedings)

**Support vector regression with automatic accuracy control.**
In *ICANN'98*, pages: 111-116, Perspectives in Neural Computing, (Editors: L Niklasson and M Boden and T Ziemke), Springer, Berlin, Germany, International Conference on Artificial Neural Networks (ICANN'98), 1998 (inproceedings)

**General cost functions for support vector regression.**
In *Ninth Australian Conference on Neural Networks*, pages: 79-83, (Editors: T Downs and M Frean and M Gallagher), 9th Australian Conference on Neural Networks (ACNN'98), 1998 (inproceedings)

**Asymptotically optimal choice of varepsilon-loss for support vector machines.**
In *8th International Conference on Artificial Neural Networks*, pages: 105-110, Perspectives in Neural Computing, (Editors: L Niklasson and M Boden and T Ziemke), Springer, Berlin, Germany, 8th International Conference on Artificial Neural Networks, 1998 (inproceedings)