Publikationen von M Wu
Alle Typen
Zeitschriftenartikel (1)
1.
Zeitschriftenartikel
7, S. 603 - 624 (2006)
A Direct Method for Building Sparse Kernel Learning Algorithms. The Journal of Machine Learning Research Konferenzbeitrag (8)
2.
Konferenzbeitrag
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)
3.
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 Local Learning Approach for Clustering. In: Advances in Neural Information Processing Systems 19, S. 1529 - 1536 (Hg. 4.
Konferenzbeitrag
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)
5.
Konferenzbeitrag
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)
6.
Konferenzbeitrag
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)
7.
Konferenzbeitrag
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)
8.
Konferenzbeitrag
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)
9.
Konferenzbeitrag
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)
10.
Vortrag
Local Learning Algorithms for Transductive Classification, Clustering and Data Projection. Yahoo Inc., Santa Clara, CA, USA (2007)
11.
Vortrag
Building Sparse Large Margin Classifiers. The 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany (2005)
Bericht (1)
12.
Bericht
Maximum-Margin Feature Combination for Detection and Categorization. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 8 S.