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Zeitschriftenartikel (1)

  1. 1.
    Zeitschriftenartikel
    Wu, M.; Schölkopf, B.; BakIr, G.: A Direct Method for Building Sparse Kernel Learning Algorithms. The Journal of Machine Learning Research 7, S. 603 - 624 (2006)

Konferenzbeitrag (8)

  1. 2.
    Konferenzbeitrag
    Ye, J.; Zhao, Z.; Wu, M.: Discriminative K-means for Clustering. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, S. 1649 - 1656 (Hg. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, 03. Dezember 2007 - 06. Dezember 2007. Curran, Red Hook, NY, USA (2008)
  2. 3.
    Konferenzbeitrag
    Wu, M.; Schölkopf, B.: A Local Learning Approach for Clustering. In: Advances in Neural Information Processing Systems 19, S. 1529 - 1536 (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. 4.
    Konferenzbeitrag
    Wu, M.: Collaborative Filtering via Ensembles of Matrix Factorizations. In: KDD Cup and Workshop 2007, S. 43 - 47. KDD Cup and Workshop 2007, San Jose, CA, USA, 12. August 2007. (2007)
  4. 5.
    Konferenzbeitrag
    Wu, M.; Yu , K.; Yu, S.; Schölkopf, B.: Local Learning Projections. In: ICML '07: 24th International Conference on Machine Learning, S. 1039 - 1046 (Hg. Ghahramani, Z.). 24th International Conference on Machine Learning (ICML 2007), Corvallis, OR, USA, 20. Juni 2007 - 24. Juni 2007. ACM Press, New York, NY, USA (2007)
  5. 6.
    Konferenzbeitrag
    Wu, M.; Schölkopf, B.: Transductive Classification via Local Learning Regularization. In: Artificial Intelligence and Statistics, 21-24 March 2007, San Juan, Puerto Rico, S. 628 - 635 (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)
  6. 7.
    Konferenzbeitrag
    Wu, M.; Farquhar, J.: A Subspace Kernel for Nonlinear Feature Extraction. In: IJCAI'07: 20th International Joint Conference on Artifical Intelligence, S. 1125 - 1130 (Hg. Sangal, R.; Mehta, H.; Bagga, R.). 20th International Joint Conference on Artificial Intelligence (IJCAI-07), Hyderabad, India, 06. Januar 2007 - 12. Januar 2007. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (2007)
  7. 8.
    Konferenzbeitrag
    Yu, S.; Yu , K.; Tresp, V.; Kriegel, H.-P.; Wu, M.: Supervised Probabilistic Principal Component Analysis. In: KDD '06: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, S. 464 - 473 (Hg. Eliassi-Rad, T.; Ungar, L.; Craven, M.; Gunopulos, D.). 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Philadelphia, PA, USA, 20. August 2006 - 23. August 2006. ACM Press, New York, NY, USA (2006)
  8. 9.
    Konferenzbeitrag
    Wu, M.; Schölkopf, B.; BakIr, G.: Building Sparse Large Margin Classifiers. In: ICML '05: 22nd international conference on Machine learning, S. 996 - 1003 (Hg. Dzeroski, S.; de Raedt, L.; Wrobel, S.). 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany, 07. August 2005 - 11. August 2005. ACM, New York, NY, USA (2005)

Vortrag (2)

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    Vortrag
    Wu, M.: Local Learning Algorithms for Transductive Classification, Clustering and Data Projection. Yahoo Inc., Santa Clara, CA, USA (2007)
  2. 11.
    Vortrag
    Wu, M.; Schölkopf, B.; BakIr, G.: Building Sparse Large Margin Classifiers. The 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany (2005)

Bericht (1)

  1. 12.
    Bericht
    Bakır, G.; Wu, M.; Eichhorn, J.: Maximum-Margin Feature Combination for Detection and Categorization. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 8 S.
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