Publikationen von J Weston
Alle Typen
Konferenzbeitrag (22)
21.
Konferenzbeitrag
Semi-Supervised Protein Classification using Cluster Kernels. Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 09. Dezember 2003 - 11. Dezember 2003. Advances in Neural Information Processing Systems 16, S. 595 - 602 (2004)
22.
Konferenzbeitrag
Schölkopf, B.). Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 08. Dezember 2003 - 13. Dezember 2003. MIT Press, Cambridge, MA, USA (2004)
Learning with Local and Global Consistency. In: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, S. 321 - 328 (Hg. Thrun, S.; Saul, L.; 23.
Konferenzbeitrag
Ranking on Data Manifolds. Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada, 09. Dezember 2003 - 11. Dezember 2003. Advances in Neural Information Processing Systems 16, S. 169 - 176 (2004)
24.
Konferenzbeitrag
Cluster Kernels for Semi-Supervised Learning. In: Advances in Neural Information Processing Systems 15, S. 585 - 592 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 09. Dezember 2002 - 14. Dezember 2002. MIT Press, Cambridge, MA, USA (2003)
25.
Konferenzbeitrag
Mismatch String Kernels for SVM Protein Classification. In: Advances in Neural Information Processing Systems 15, S. 1417 - 1424 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 09. Dezember 2002 - 14. Dezember 2002. MIT Press, Cambridge, MA, USA (2003)
26.
Konferenzbeitrag
Kernel Dependency Estimation. In: Advances in Neural Information Processing Systems 15, S. 873 - 880 (Hg. Becker, S.; Thrun, S.; Obermayer, K.). Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), Vancouver, BC, Canada, 09. Dezember 2002 - 14. Dezember 2002. MIT Press, Cambridge, MA, USA (2003)
27.
Konferenzbeitrag
Semi-Supervised Learning through Principal Directions Estimation. In: ICML 2003 Workshop on the Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining, S. 1 - 7. ICML 2003 Workshop on the Continuum from Labeled to Unlabeled Data in Machine Learning & Data Mining, Washington, DC, USA, 21. August 2003. (2003)
28.
Konferenzbeitrag
Extension of the nu-SVM range for classification. In: Advances in learning theory: methods, models and applications, S. 179 - 196 (Hg. Suykens, J.; Horvath, G.; Basu, S.; Micchelli, C.; Vandewalle, J.). NATO Advanced Study Institute on Learning Theory and Practice 2002, Leuven, Belgium, 08. Juli 2002 - 19. Juli 2002. IOS Press, Amsterdam, The Netherlands (2003)
29.
Konferenzbeitrag
Statistical Learning and Kernel Methods in Bioinformatics. In: Artificial intelligence and heuristic methods in bioinformatics, S. 1 - 21 (Hg. Frasconi, P.; Shamir, R.). NATO Advanced Study Institute on Artificial Intelligence and Heuristic Methods in Bioinformatics 2001, San Miniato, Italy, 01. Oktober 2001 - 11. Oktober 2001. IOS Press, Amsterdam, The Netherlands (2003)
30.
Konferenzbeitrag
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)
31.
Konferenzbeitrag
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)
32.
Konferenzbeitrag
Vicinal Risk Minimization. Fourteenth Annual Neural Information Processing Systems Conference (NIPS 2000), Denver, CO, USA, 27. November 2000 - 02. Dezember 2000. Advances in Neural Information Processing Systems 13, S. 416 - 422 (2001)
33.
Konferenzbeitrag
Feature Selection for SVMs. In: Advances in Neural Information Processing Systems 13, S. 668 - 674 (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)
34.
Konferenzbeitrag
Transductive Inference for Estimating Values of Functions. In: Advances in Neural Information Processing Systems 12, S. 421 - 427 (Hg. Solla, S.; Leen, T.; Müller, K.). Thirteenth Annual Neural Information Processing Systems Conference (NIPS 1999), Denver, CO, USA, 29. November 2000 - 04. Dezember 2000. MIT Press, Cambridge, MA, USA (2000)
35.
Konferenzbeitrag
Invariant feature extraction and classification in kernel spaces. In: Advances in Neural Information Processing Systems 12, S. 526 - 532 (Hg. Solla, S.; Leen, T.). Thirteenth Annual Neural Information Processing Systems Conference (NIPS 1999), Denver, CO, USA, 29. November 2000 - 04. Dezember 2000. MIT Press, Cambridge, MA, USA (2000)
36.
Konferenzbeitrag
Fisher discriminant analysis with kernels. In: Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop, S. 41 - 48. 1999 IEEE Signal Processing Society Workshop, Madison, WI, USA, 25. August 1999. IEEE, Piscataway, NJ, USA (1999)
Bericht (10)
37.
Bericht
132). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 12 S.
Fast Binary and Multi-Output Reduced Set Selection (Technical Report of the Max Planck Institute for Biological Cybernetics, 38.
Bericht
131). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 9 S.
Joint Kernel Maps (Technical Report of the Max Planck Institute for Biological Cybernetics, 39.
Bericht
120). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 9 S.
Support Vector Channel Selection in BCI (Technical Report of the Max Planck Institute for Biological Cybernetics, 40.
Bericht
111). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 10 S.
Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms (Technical Report of the Max Planck Institute for Biological Cybernetics,