Publikationen von B Schölkopf

Schölkopf, B.; Smola, A.: A Short Introduction to Learning with Kernels. In: Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 Canberra, Australia, February 11–22, 2002, S. 41 - 64 (Hg. Mendelson, S.; Smola, A.). Machine Learning Summer School 2002, Canberra, Australia, 11. Februar 2002 - 22. Februar 2002. Springer, Berlin, Germany (2003)

Smola, A.; Schölkopf, B.: Bayesian Kernel Methods. In: Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 Canberra, Australia, February 11–22, 2002, S. 65 - 117 (Hg. Mendelson, S.; Smola, A.). Machine Learning Summer School 2002, Canberra, Australia, 11. Februar 2002 - 22. Februar 2002. Springer, Berlin, Germany (2003)

Achlioptas, D.; McSherry, F.; Schölkopf, B.: Sampling Techniques for Kernel Methods. In: Advances in Neural Information Processing Systems 14, S. 335 - 342 (Hg. Dietterich, T.; Becker, S.; Ghahramani, Z.). Fifteenth Annual Neural Information Processing Systems Conference (NIPS 2001), Vancouver, BC, Canada, 03. Dezember 2001 - 08. Dezember 2001. MIT Press, Cambridge, MA, USA (2002)

Chapelle, O.; Schölkopf, B.: Incorporating Invariances in Non-Linear Support Vector Machines. In: Advances in Neural Information Processing Systems 14, S. 609 - 616 (Hg. Dietterich, T.; Becker, S.; Ghahramani, Z.). Fifteenth Annual Neural Information Processing Systems Conference (NIPS 2001), Vancouver, BC, Canada, 03. Dezember 2001 - 08. Dezember 2001. MIT Press, Cambridge, MA, USA (2002)

Schölkopf, B.; Weston, J.; Eskin , E.; Leslie, C.; Noble, W.: A kernel approach for learning from almost orthogonal patterns. In: Machine Learning: ECML 2002: 13th European Conference on Machine Learning Helsinki, Finland, August 19–23, 2002, S. 511 - 528 (Hg. Elomaa, T.; Mannila, H.; Toivonen, H.). 13th European Conference on Machine Learning (ECML 2002), Helsinki, Finland, 19. August 2002 - 23. August 2002. Springer, Berlin, Germany (2002)

Gretton, A.; Doucet, A.; Herbrich, R.; Rayner, P.; Schölkopf, B.: Support Vector Regression for Black-Box System Identification. In: 11th IEEE Workshop on Statistical Signal Processing, S. 341 - 344. 11th IEEE Workshop on Statistical Signal Processing (SSP 2001), Singapore , 08. August 2001. IEEE, Piscataway, NJ, USA (2001)

Weston, J.; Perez-Cruz , F.; Bousquet, O.; Chapelle, O.; Elisseeff, A.; Schölkopf, B.: KDD Cup 2001 data analysis: prediction of molecular bioactivity for drug Design-Binding to Thrombin. In: KDD-2001 Cup: The Genomics Challenge. KDD-2001 Cup: The Genomics Challenge, 26. August 2001. (2001)

Cheng, Y.; Fu, Q.; Gu, L.; Li, S.; Schölkopf, B.; Zhang, H.: Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation. In: Eighth IEEE International Conference on Computer Vision: ICCV 2001, S. 674 - 679. Eighth IEEE International Conference on Computer Vision (ICCV 2001), Vancouver, BC, Canada, 07. Juli 2001 - 14. Juli 2001. IEEE, Piscataway, NJ, USA (2001)

Lawrence, N.; Schölkopf, B.: Estimating a Kernel Fisher Discriminant in the Presence of Label Noise. In: Machine learning: proceedings of the eighteenth international conference, S. 306 - 306 (Hg. Brodley, C.; Pohoreckyj Danyluk, A.). 18th International Conference on Machine Learning (ICML 2001), Williamstown, MA, USA, 28. Juni 2001 - 01. Juli 2001. Morgan Kaufmann, San Francisco, CA, USA (2001)

Romdhani, S.; Torr, P.; Schölkopf, B.; Blake, A.: Computationally Efficient Face Detection. In: Eighth IEEE International Conference on Computer Vision: ICCV 2001, S. 695 - 700. Eighth IEEE International Conference on Computer Vision (ICCV 2001), Vancouver, BC, Canada, 07. Juli 2001 - 14. Juli 2001. IEEE, Piscataway, NJ, USA (2001)

Schölkopf, B.; Herbrich, R.; Smola, A.: A Generalized Representer Theorem. In: Computational Learning Theory: 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001 Amsterdam, The Netherlands, July 16–19, 2001, S. 416 - 426 (Hg. Helmbold, D.; Williamson, B.). 14th Annual Conference on Computational Learning Theory (COLT 2001) and 5th European Conference on Computational Learning Theory (EuroCOLT 2001), Amsterdam, The Netherlands, 16. Juli 2001 - 19. Juli 2001. Springer, Berlin, Germany (2001)

Hayton, P.; Schölkopf, B.; Tarassenko, L.; Anuzis, P.: Support vector novelty detection applied to jet engine vibration spectra. In: Advances in Neural Information Processing Systems 13, S. 946 - 946 (Hg. Leen, T.; Dietterich, T.; Tresp, V.). Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000), Denver, CO, USA, 27. November 2000 - 02. Dezember 2000. MIT Press, Cambridge, MA, USA (2001)

Schölkopf, B.: The Kernel Trick for Distances. In: Advances in Neural Information Processing Systems 13, S. 301 - 307 (Hg. Leen, T.; Dietterich, T.; Tresp, V.). Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000), Denver, CO, USA, 27. November 2000 - 02. Dezember 2000. MIT Press, Cambridge, MA, USA (2001)

Still, S.; Schölkopf, B.; Hepp, K.; Douglas, R.: Four-legged Walking Gait Control Using a Neuromorphic Chip Interfaced to a Support Vector Learning Algorithm. In: Advances in Neural Information Processing Systems 13, S. 741 - 747 (Hg. Leen , T.; Dietterich, T.; Tresp, V.). Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000), Denver, CO, USA, 27. November 2000 - 02. Dezember 2000. MIT Press, Cambridge, MA, USA (2001)

Mika, S.; Schölkopf, B.; Smola, A.: An Improved Training Algorithm for Kernel Fisher Discriminants. In: 8th International Conference on Artificial Intelligence and Statistics (AISTATS 2001), S. 98 - 104 (Hg. Richardson, T.; Jaakkola, T.). 8th International Conference on Artificial Intelligence and Statistics (AISTATS 2001), Key West, FL, USA, 04. Januar 2001 - 07. Januar 2001. Society for Artificial Intelligence and Statistics (2001)

Schölkopf, B.: Statistical Learning and Kernel Methods. In: Data Fusion and Perception, S. 3 - 24 (Hg. Della Riccia, G.; Lenz, H.-J.; Kruse, R.). 5th Workshop on "Data Fusion and Perceptions", Udine, Italy, 05. Oktober 2000 - 07. Oktober 2000. Springer, Wien, Austria (2001)

Tipping, M.; Schölkopf, B.: A kernel approach for vector quantization with guaranteed distortion bounds. In: 8th International Conference on Artificial Intelligence and Statistics (AISTATS 2001), S. 129 - 134 (Hg. Richardson, T.; Jaakkola, T.). 8th International Conference on Artificial Intelligence and Statistics (AISTATS 2001), Key West, FL, USA, 04. Januar 2001 - 07. Januar 2001. Society for Artificial Intelligence and Statistics (2001)

Zien, A.; Rätsch, G.; Mika, S.; Schölkopf, B.; Lemmen, C.; Smola, A.; Lengauer, T.; Müller, K.-R.: Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites. German Conference on Bioinformatics (GCB 1999), Hannover, Germany, 04. Oktober 1999 - 06. Oktober 1999. Bioinformatics 16 (9), S. 799 - 807 (2000)

Chalimourda, A.; Schölkopf, B.; Smola, A.: Choosing nu in support vector regression with different noise models: theory and experiments. In: IEEE-INNS-ENNS International Joint Conference on Neural Networks: IJCNN 2000: Neural Computing: New Challenges and Perspectives for the New Millennium, S. 199 - 204. IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2000), Como, Italy, 27. Juli 2000. IEEE, Piscataway, NJ, USA (2000)

Smola, A.; Schölkopf, B.: Sparse greedy matrix approximation for machine learning. In: Seventeenth International Conference on Machine Learning (ICML 2000), S. 911 - 918 (Hg. Langley, P.). Seventeenth International Conference on Machine Learning (ICML 2000), Stanford, CA, USA, 29. Juni 2000 - 02. Juli 2000. Morgan Kaufmann, San Francisco, CA, USA (2000)