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Peter Haider

Research Interests

• Spam filtering
• Kernel methods for structured data
• Collaborative filtering
• ...

Publications

• Uwe Dick, Peter Haider, and Tobias Scheffer. Learning from incomplete data with infinite imputations. ICML 2008.
• Peter Haider, Ulf Brefeld, and Tobias Scheffer. Supervised clustering of streaming data for email batch detection. ICML 2007. Best Student Paper Award.
• Steffen Bickel, Peter Haider, Tobias Scheffer, Rene Wienholtz. A computer implemented system and a method for detecting abuse of an electronic mail infrastructure in a computer network. European Patent Application EP2007004097, 2007.
• Peter Haider, Arne Jansen, and Tobias Scheffer. A method of filtering electronic mail and an electronic mail system. European Patent Application EP2007004098, 2007.
• Michael Brückner, Peter Haider, and Tobias Scheffer. Highly scalable discriminative spam filtering. Proceedings of the Text Retrieval Conference (TREC), 2007.
• Peter Haider, Ulf Brefeld, and Tobias Scheffer. Discriminative Identification of Duplicates. Proceedings of the ECML Workshop on Mining and Learning in Graphs, 2006.
• David Vogel, Steffen Bickel, Peter Haider, Rolf Schimpfky, Peter Siemen, Steve Bridges, Tobias Scheffer. Classifying search engine queries using the web as background knowledge. SIGKDD Explorations 7(2): 117-122. 2005.
• Steffen Bickel, Peter Haider, and Tobias Scheffer. Predicting sentences using N-gram language models. Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2005.
• Steffen Bickel, Peter Haider, and Tobias Scheffer. Learning to complete sentences. Proceedings of the European Conference on Machine Learning. 2005.

Teaching

• Seminar Network Mining (WS 2006/07) at Humboldt Universität zu Berlin

Private

• Contemporary art by Tom Schulhauser

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