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Konferenzbeitrag (41)

  1. 41.
    Konferenzbeitrag
    Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: A Kernel Method for the Two-Sample-Problem. In: Advances in Neural Information Processing Systems 19, S. 513 - 520 (Hg. 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)
  2. 42.
    Konferenzbeitrag
    Huang, J.; Smola, A.; Gretton, A.; Borgwardt, K.; Schölkopf, B.: Correcting Sample Selection Bias by Unlabeled Data. In: Advances in Neural Information Processing Systems 19, S. 601 - 608 (Hg. 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)
  3. 43.
    Konferenzbeitrag
    Gretton, A.; Borgwardt, K.; Rasch, M.; Schölkopf, B.; Smola, A.: 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)
  4. 44.
    Konferenzbeitrag
    Song, L.; Bedo, J.; Borgwardt, K.; Gretton, A.; Smola, A.: 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 23 (13: ISMB/ECCB 2007 Conference Proceedings), S. i490 - i498 (2007)
  5. 45.
    Konferenzbeitrag
    Song, L.; Smola, A.; Gretton, A.; Borgwardt, K.: 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)
  6. 46.
    Konferenzbeitrag
    Song, L.; Smola, A.; Gretton, A.; Borgwardt, K.; Bedo, J.: 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)
  7. 47.
    Konferenzbeitrag
    Shen, H.; Jegelka, S.; Gretton, A.: 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)
  8. 48.
    Konferenzbeitrag
    Borgwardt, K.; Gretton, A.; Rasch, M.; Kriegel, H.-P.; Schölkopf, B.; Smola, A.: 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 22 (14), S. e49 - e57 (2006)
  9. 49.
    Konferenzbeitrag
    Fukumizu, K.; Bach, F.; Gretton, A.: Statistical Convergence of Kernel CCA. In: Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference, S. 387 - 394 (Hg. Weiss, Y.; 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)
  10. 50.
    Konferenzbeitrag
    Jegelka, S.; Gretton, A.; Achlioptas, D.: 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)
  11. 51.
    Konferenzbeitrag
    Gretton, A.; Bousquet, O.; Smola, A.; Schölkopf, B.: 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)
  12. 52.
    Konferenzbeitrag
    Gretton, A.; Smola, A.; Bousquet, O.; Herbrich R, Belitski, A.; Augath, M.; Murayama, Y.; Pauls, J.; Schölkopf, B.; Logothetis, N.: Kernel Constrained Covariance for Dependence Measurement. Tenth International Workshop on Artificial Intelligence and Statistics (AI Statistics 2005), Barbados. AISTATS 2005, S. 112 - 119 (2005)
  13. 53.
    Konferenzbeitrag
    Zhou, D.; Weston, J.; Gretton, A.; Bousquet, O.; Schölkopf, B.: Ranking on Data Manifolds. Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), Vancouver, BC, Canada. Advances in Neural Information Processing Systems, S. 169 - 176 (2004)
  14. 54.
    Konferenzbeitrag
    BakIr, G.; Gretton, A.; Franz, M.; Schölkopf, B.: Multivariate Regression via Stiefel Manifold Constraints. In: DAGM 2004, S. 262 - 269. DAGM 2004, Tübingen. Springer, Berlin, Germany (2004)
  15. 55.
    Konferenzbeitrag
    Gretton, A.; Herbrich, R.; Smola, A.: The Kernel Mutual Information. In: 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '03), S. 880 - 883. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, 06. April 2003 - 10. April 2003. IEEE, Piscataway, NJ, USA (2003)
  16. 56.
    Konferenzbeitrag
    Gretton, A.: On-Line One-Class Support Vector Machines. An Application to Signal Segmentation. IEEE ICASSP. IEEE ICASSP Vol. 2, S. 709 - 712 (2003)
  17. 57.
    Konferenzbeitrag
    Gretton, A.; Davy M, Doucet, A.; Rayner, P.: Nonstationary Signal Classification using Support Vector Machines. In: 11th IEEE Workshop on Statistical Signal Processing, S. 305 - 305. 11th IEEE Workshop on Statistical Signal Processing. (2001)
  18. 58.
    Konferenzbeitrag
    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 - 341. 11th IEEE Workshop on Statistical Signal Processing. (2001)

Meeting Abstract (1)

  1. 59.
    Meeting Abstract
    Ku, S.-P.; Gretton, A.; Macke, J.; Logothetis, N.: Pattern recognition methods in classifying fMRI data. In 9th Conference of the Junior Neuroscientists of Tübingen (NeNa 2008), S. 11. 9th Conference of the Junior Neuroscientists of Tübingen (NeNa 2008), Ellwangen, Germany, 27. Oktober 2008 - 29. Oktober 2008. (2008)

Vortrag (6)

  1. 60.
    Vortrag
    Gretton, A.: Covariate Shift by Kernel Mean Matching. NIPS 2009 Workshop on Transfer Learning for Structured Data (TLSD-09), Whistler, BC, Canada (2009)
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