Peter Haider

12 papers A* 5Journal 2Unranked 4
YearRankTypeTitle / Venue / Authors
2013 — —
Prediction with mixture models.
Peter Haider
2012 A* conf
Discriminative clustering for market segmentation.
KDD
Peter Haider, Luca Chiarandini, Ulf Brefeld
2012 J jnl
Finding Botnets Using Minimal Graph Clusterings
CoRR
Peter Haider, Tobias Scheffer
2012 A* conf
Finding Botnets Using Minimal Graph Clusterings.
ICML
Peter Haider, Tobias Scheffer
2010 — conf
Throttling Poisson Processes.
NIPS
Uwe Dick, Peter Haider, Thomas Vanck, Michael Brückner, Tobias Scheffer
2009 A* conf
Bayesian clustering for email campaign detection.
ICML
Peter Haider, Tobias Scheffer
2008 A* conf
Learning from incomplete data with infinite imputations.
ICML
Uwe Dick, Peter Haider, Tobias Scheffer
2007 A* conf
Supervised clustering of streaming data for email batch detection.
ICML
Peter Haider, Ulf Brefeld, Tobias Scheffer
2006 — conf
Highly Scalable Discriminative Spam Filtering.
TREC
Michael Brückner, Peter Haider, Tobias Scheffer
2005 J jnl
Classifying search engine queries using the web as background knowledge.
SIGKDD Explor.
David S. Vogel, Steffen Bickel, Peter Haider, Rolf Schimpfky, Peter Siemen, Steve Bridges, Tobias Scheffer
2005 — conf
Learning to Complete Sentences.
ECML
Steffen Bickel, Peter Haider, Tobias Scheffer
2005 — conf
Predicting Sentences using N-Gram Language Models.
HLT/EMNLP
Steffen Bickel, Peter Haider, Tobias Scheffer