Publikationen von A Gretton
Alle Typen
Konferenzbeitrag (41)
41.
Konferenzbeitrag
A Hilbert Space Embedding for Distributions. In: Algorithmic Learning Theory: 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, S. 13 - 31 (Hg. Hutter, M.; Servedio, R.; Takimoto, E.). 18th International Conference on Algorithmic Learning Theory (ALT 2007), Sendai, Japan, 01. Oktober 2007 - 04. Oktober 2007. Springer, Berlin, Germany (2007)
42.
Konferenzbeitrag
A Hilbert Space Embedding for Distributions. In: Discovery Science: 10th International Conference, DS 2007 Sendai, Japan, October 1-4, 2007, S. 40 - 41 (Hg. Corruble, V.; Takeda, M.; Suzuki, E.). 10th International Conference on Discovery Science (DS 2007), Sendai, Japan, 01. Oktober 2007 - 04. Oktober 2007. Springer, Berlin, Germany (2007)
43.
Konferenzbeitrag
Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)
A Kernel Method for the Two-Sample-Problem. In: Advances in Neural Information Processing Systems 19, S. 513 - 520 (Hg. 44.
Konferenzbeitrag
Schölkopf, B.; Platt, J.; Hoffman, T.). Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), Vancouver, BC, Canada, 04. Dezember 2006 - 07. Dezember 2006. MIT Press, Cambridge, MA, USA (2007)
Correcting Sample Selection Bias by Unlabeled Data. In: Advances in Neural Information Processing Systems 19, S. 601 - 608 (Hg. 45.
Konferenzbeitrag
A Kernel Approach to Comparing Distributions. In: Twenty-Second AAAI Conference on Artificial Intelligence (IAAI-07), S. 1637 - 1641. Twenty-Second AAAI Conference on Artificial Intelligence (IAAI-07), Vancouver, BC, Canada, 22. Juli 2007 - 26. Juli 2007. AAAI Press, Menlo Park, CA, USA (2007)
46.
Konferenzbeitrag
23 (13: ISMB/ECCB 2007 Conference Proceedings), S. i490 - i498 (2007)
Gene selection via the BAHSIC family of algorithms. 15th Annual International Conference on Intelligent Systems for Molecular Biology & 6th European Conference on Computational Biology (ISMB/ECCB 2007), Wien, Austria, 21. Juli 2007 - 25. Juli 2007. Bioinformatics 47.
Konferenzbeitrag
A Dependence Maximization View of Clustering. In: ICML '07: 24th International Conference on Machine Learning, S. 815 - 822 (Hg. Ghahramani, Z.). Twenty-Fourth Annual International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, 20. Juni 2007 - 24. Juni 2007. ACM Press, New York, NY, USA (2007)
48.
Konferenzbeitrag
Supervised Feature Selection via Dependence Estimation. In: ICML '07: 24th International Conference on Machine Learning, S. 823 - 830 (Hg. Ghahramani, Z.). 24th Annual International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, 20. Juni 2007 - 24. Juni 2007. ACM Press, New York, NY, USA (2007)
49.
Konferenzbeitrag
Fast Kernel ICA using an Approximate Newton Method. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, S. 476 - 483 (Hg. Meila, M.; shen, X.). 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), San Juan, Puerto Rico, 21. März 2007 - 24. März 2007. International Machine Learning Society, Madison, WI, USA (2007)
50.
Konferenzbeitrag
22 (14), S. e49 - e57 (2006)
Integrating Structured Biological data by Kernel Maximum Mean Discrepancy. 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil, 06. August 2006 - 10. August 2006. Bioinformatics 51.
Konferenzbeitrag
Schölkopf, B.; Platt, J.). Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005), Vancouver, BC, Canada, 05. Dezember 2005 - 08. Dezember 2005. MIT Press, Cambridge, MA, USA (2006)
Statistical Convergence of Kernel CCA. In: Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference, S. 387 - 394 (Hg. Weiss, Y.; 52.
Konferenzbeitrag
Kernel ICA for Large Scale Problems. In: NIPS 2005 Workshop on Large Scale Kernel Machines, S. -. NIPS 2005 Workshop on Large Scale Kernel Machines, Vancouver, BC, Canada. (2005)
53.
Konferenzbeitrag
Measuring Statistical Dependence with Hilbert-Schmidt Norms. In: Algorithmic Learning Theory: 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, S. 63 - 78 (Hg. Jain, S.; Simon, H.; Tomita, E.). 16th International Conference on Algorithmic Learning Theory (ALT 2005), Singapore, 08. Oktober 2005 - 11. Oktober 2005. Springer, Berlin, Germany (2005)
54.
Konferenzbeitrag
Kernel Constrained Covariance for Dependence Measurement. In: AISTATS 2005: Tenth International Workshop onArtificial Intelligence and Statistics, S. 112 - 119 (Hg. Cowell, R.; Ghahramani, Z.). Tenth International Workshop on Artificial Intelligence and Statistics (AI Statistics 2005), Barbados, 06. Januar 2005 - 08. Januar 2005. The Society for Artificial Intelligence and Statistics (2005)
55.
Konferenzbeitrag
Rasmussen, C.; Bülthoff, H.; Schölkopf, B.; Giese, M.). 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Tübingen, Germany, 30. August 2004 - 01. September 2004. Springer, Berlin, Germany (2004)
Multivariate Regression via Stiefel Manifold Constraints. In: Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 - September 1, 2004, S. 262 - 269 (Hg. 56.
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)
57.
Konferenzbeitrag
2, S. 709 - 712. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, China, 06. April 2003 - 10. April 2003. IEEE, Piscataway, NJ, USA (2003)
On-Line One-Class Support Vector Machines. An Application to Signal Segmentation. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), Bd. 58.
Konferenzbeitrag
4, S. 880 - 883. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, China, 06. April 2003 - 10. April 2003. IEEE, Piscataway, NJ, USA (2003)
The Kernel Mutual Information. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), Bd. 59.
Konferenzbeitrag
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)
Meeting Abstract (2)
60.
Meeting Abstract
09401, S. 11 (Hg. Janzing, D.; Lauritzen, B.; Schölkopf, B.). Dagstuhl Seminar: Machine learning approaches to statistical dependences and causality, Schloss Dagstuhl, Germany, 27. September 2009 - 02. Oktober 2009. Schloss Dagstuhl, Leibniz-Zentrum für Informatik, Wadern (2009)
Detecting the direction of causal time series. In Dagstuhl Reports,