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Dr. Mingrui Wu

Room number:	208
E-Mail:	mingrui.wu

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Mingrui Wu

Position: Research Scientist Unit: Alumni Schölkopf

Publications

Articles (1):
•	Wu M , Schölkopf B and BakIr G (April-2006) A Direct Method for Building Sparse Kernel Learning Algorithms Journal of Machine Learning Research 7 603-624.
Conference papers (8):
•	Ye J , Zhao Z and Wu M (September-2008) Discriminative K-means for Clustering In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 1649-1656.
•	Wu M and Schölkopf B (September-2007) A Local Learning Approach for Clustering In: Advances in Neural Information Processing Systems 19, Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 1529-1536.
•	Wu M (August-2007) Collaborative Filtering via Ensembles of Matrix Factorizations In: KDD Cup and Workshop 2007, KDD Cup and Workshop 2007, 43-47.
•	Wu M , Yu K , Yu S and Schölkopf B (June-2007) Local Learning Projections In: ICML 2007, 24th International Conference on Machine Learning, ACM Press, New York, NY, USA, 1039-1046.
•	Wu M and Schölkopf B (March-2007) Transductive Classification via Local Learning Regularization In: JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007, 11th International Conference on Artificial Intelligence and Statistics, MIT Press, Cambridge, MA, USA, 628-635.
•	Wu M and Farquhar J (January-2007) A Subspace Kernel for Nonlinear Feature Extraction In: IJCAI-07, International Joint Conference on Artificial Intelligence, AAAI Press, Menlo Park, CA, USA, 1125-1130.
•	Yu S , Yu K , Tresp V , Kriegel H-P and Wu M (August-2006) Supervised Probabilistic Principal Component Analysis In: KDD 2006, 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM Press, New York, NY, USA, 464-473.
•	Wu M , Schölkopf B and BakIr G (August-2005) Building Sparse Large Margin Classifiers In: ICML 2005, 22nd International Conference on Machine Learning, ACM, New York, NY, USA, 996-1003.
Technical reports (1):
•	BakIr G , Wu M and Eichhorn J : Maximum-Margin Feature Combination for Detection and Categorization, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (2005).
Talks (3):
•	Wu M (August-2007): Collaborative Filtering via Ensembles of Matrix Factorizations, KDD Cup and Workshop 2007, San Jose, CA, USA.
•	Wu M (July-2007): Local Learning Algorithms for Transductive Classification, Clustering and Data Projection, Yahoo Inc., Santa Clara, CA, USA.
•	Wu M , Schölkopf B and BakIr G (August-2005): Building Sparse Large Margin Classifiers, The 22nd International Conference on Machine Learning (ICML 2005), Bonn, Germany.

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Last updated: Monday, 16.01.2012