Publikationen von J Weston
Alle Typen
Konferenzbeitrag (16)
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)
Bericht (8)
31.
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, 32.
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, 33.
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, 34.
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, 35.
Bericht
112). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 8 S.
Learning with Local and Global Consistency (Technical Report of the Max Planck Institute for Biological Cybernetics, 36.
Bericht
113). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 8 S.
Ranking on Data Manifolds (Technical Report of the Max Planck Institute for Biological Cybernetics, 37.
Bericht
98). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2002), 10 S.
Kernel Dependency Estimation (Technical Report of the Max Planck Institute for Biological Cybernetics, 38.
Bericht
Feature Selection and Transduction for Prediction of Molecular Bioactivity for Drug Design. (2002)