| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Lise Getoor, Tobias Scheffer (eds.) |
Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011  |
ICML  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Michael Brückner, Tobias Scheffer |
Stackelberg games for adversarial prediction problems. |
KDD |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Christoph Sawade, Niels Landwehr, Steffen Bickel, Tobias Scheffer |
Active Risk Estimation. |
ICML |
2010 |
DBLP BibTeX RDF |
|
| 1 | Uwe Dick, Peter Haider, Thomas Vanck, Michael Brückner, Tobias Scheffer |
Throttling Poisson Processes. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Christoph Sawade, Niels Landwehr, Tobias Scheffer |
Active Estimation of F-Measures. |
NIPS |
2010 |
DBLP BibTeX RDF |
|
| 1 | Steffen Bickel, Michael Brückner, Tobias Scheffer |
Discriminative Learning Under Covariate Shift. |
Journal of Machine Learning Research |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Szymon Jaroszewicz, Tobias Scheffer, Dan A. Simovici |
Scalable pattern mining with Bayesian networks as background knowledge. |
Data Min. Knowl. Discov. |
2009 |
DBLP DOI BibTeX RDF |
Bayesian network, Association rule, Data stream, Background knowledge, Interestingness |
| 1 | Tobias Scheffer |
Semi-Supervised Learning. |
Encyclopedia of Data Warehousing and Mining |
2009 |
DBLP BibTeX RDF |
|
| 1 | Peter Haider, Tobias Scheffer |
Bayesian clustering for email campaign detection. |
ICML |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Laura Dietz, Valentin Dallmeier, Andreas Zeller, Tobias Scheffer |
Localizing Bugs in Program Executions with Graphical Models. |
NIPS |
2009 |
DBLP BibTeX RDF |
|
| 1 | Michael Brückner, Tobias Scheffer |
Nash Equilibria of Static Prediction Games. |
NIPS |
2009 |
DBLP BibTeX RDF |
|
| 1 | Szymon Jaroszewicz, Lenka Ivantysynova, Tobias Scheffer |
Schema matching on streams with accuracy guarantees. |
Intell. Data Anal. |
2008 |
DBLP BibTeX RDF |
|
| 1 | Thoralf Klein, Ulf Brefeld, Tobias Scheffer |
Exact and Approximate Inference for Annotating Graphs with Structural SVMs. |
ECML/PKDD |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Steffen Bickel, Jasmina Bogojeska, Thomas Lengauer, Tobias Scheffer |
Multi-task learning for HIV therapy screening. |
ICML |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Uwe Dick, Peter Haider, Tobias Scheffer |
Learning from incomplete data with infinite imputations. |
ICML |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Steffen Bickel, Christoph Sawade, Tobias Scheffer |
Transfer Learning by Distribution Matching for Targeted Advertising. |
NIPS |
2008 |
DBLP BibTeX RDF |
|
| 1 | Alexander Zien, Ulf Brefeld, Tobias Scheffer |
Transductive support vector machines for structured variables. |
ICML |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Laura Dietz, Steffen Bickel, Tobias Scheffer |
Unsupervised prediction of citation influences. |
ICML |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Steffen Bickel, Michael Brückner, Tobias Scheffer |
Discriminative learning for differing training and test distributions. |
ICML |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Peter Haider, Ulf Brefeld, Tobias Scheffer |
Supervised clustering of streaming data for email batch detection. |
ICML |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Ulf Brefeld, Thoralf Klein, Tobias Scheffer |
Support Vector Machines for Collective Inference. |
MLG |
2007 |
DBLP BibTeX RDF |
|
| 1 | David S. Vogel, Ognian Asparouhov, Tobias Scheffer |
Scalable look-ahead linear regression trees. |
KDD |
2007 |
DBLP DOI BibTeX RDF |
linear regression tree, regression, predictive model, scalable algorithms, model tree |
| 1 | Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (eds.) |
Knowledge Discovery in Databases: PKDD 2006, 10th European Conference on Principles and Practice of Knowledge Discovery in Databases, Berlin, Germany, September 18-22, 2006, Proceedings |
PKDD |
2006 |
DBLP BibTeX RDF |
|
| 1 | Michael Brückner, Peter Haider, Tobias Scheffer |
Highly Scalable Discriminative Spam Filtering. |
TREC |
2006 |
DBLP BibTeX RDF |
|
| 1 | Johannes Fürnkranz, Tobias Scheffer, Myra Spiliopoulou (eds.) |
Machine Learning: ECML 2006, 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings |
ECML |
2006 |
DBLP BibTeX RDF |
|
| 1 | Ulf Brefeld, Thomas Gärtner, Tobias Scheffer, Stefan Wrobel |
Efficient co-regularised least squares regression. |
ICML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Ulf Brefeld, Tobias Scheffer |
Semi-supervised learning for structured output variables. |
ICML |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Steffen Bickel, Tobias Scheffer |
Dirichlet-Enhanced Spam Filtering based on Biased Samples. |
NIPS |
2006 |
DBLP BibTeX RDF |
|
| 1 | Jörg Hakenberg, Steffen Bickel, Conrad Plake, Ulf Brefeld, Hagen Zahn, Lukas Faulstich, Ulf Leser, Tobias Scheffer |
Systematic feature evaluation for gene name recognition. |
BMC Bioinformatics |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | David S. 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 |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Tobias Scheffer |
Finding association rules that trade support optimally against confidence. |
Intell. Data Anal. |
2005 |
DBLP BibTeX RDF |
|
| 1 | Steffen Bickel, Peter Haider, Tobias Scheffer |
Predicting Sentences using N-Gram Language Models. |
HLT/EMNLP |
2005 |
DBLP BibTeX RDF |
|
| 1 | Tobias Scheffer |
Multi-View Learning and Link Farm Discovery. |
Probabilistic, Logical and Relational Learning |
2005 |
DBLP BibTeX RDF |
|
| 1 | Isabel Drost, Tobias Scheffer |
Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam. |
ECML |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Steffen Bickel, Peter Haider, Tobias Scheffer |
Learning to Complete Sentences. |
ECML |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Steffen Bickel, Tobias Scheffer |
Estimation of Mixture Models Using Co-EM. |
ECML |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Ulf Brefeld, Christoph Büscher, Tobias Scheffer |
Multi-view Discriminative Sequential Learning. |
ECML |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Ulf Brefeld, Christoph Büscher, Tobias Scheffer |
Multi-View Hidden Markov Perceptrons. |
LWA |
2005 |
DBLP BibTeX RDF |
|
| 1 | Achim G. Hoffmann, Hiroshi Motoda, Tobias Scheffer (eds.) |
Discovery Science, 8th International Conference, DS 2005, Singapore, October 8-11, 2005, Proceedings |
Discovery Science |
2005 |
DBLP BibTeX RDF |
|
| 1 | Isabel Drost, Steffen Bickel, Tobias Scheffer |
Discovering Communities in Linked Data by Multi-view Clustering. |
GfKl |
2005 |
DBLP DOI BibTeX RDF |
|
| 1 | Szymon Jaroszewicz, Tobias Scheffer |
Fast discovery of unexpected patterns in data, relative to a Bayesian network. |
KDD |
2005 |
DBLP DOI BibTeX RDF |
Bayesian networks, association rules, sampling |
| 1 | Mark-A. Krogel, Tobias Scheffer |
Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics. |
Machine Learning |
2004 |
DBLP DOI BibTeX RDF |
information extraction, co-training, propositionalization |
| 1 | Tobias Scheffer |
Email answering assistance by semi-supervised text classification. |
Intell. Data Anal. |
2004 |
DBLP BibTeX RDF |
|
| 1 | Steffen Bickel, Tobias Scheffer |
Multi-View Clustering. |
ICDM |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Steffen Bickel, Tobias Scheffer |
Learning from Message Pairs for Automatic Email Answering. |
ECML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Ulf Brefeld, Steffen Bickel, Tobias Scheffer |
Multi-View Lernen. |
LWA |
2004 |
DBLP BibTeX RDF |
|
| 1 | Isabel Drost, Tobias Scheffer |
Efficiency and Stability of Clustering Algorithms for Linked Data. |
LWA |
2004 |
DBLP BibTeX RDF |
|
| 1 | Tobias Scheffer |
Workshop der GI-Fachgruppe "Maschinelles Lernen" (FGML). |
LWA |
2004 |
DBLP BibTeX RDF |
|
| 1 | Andreas Abecker, Steffen Bickel, Ulf Brefeld, Isabel Drost, Nicola Henze, Olaf Herden, Mirjam Minor, Tobias Scheffer, Ljiljana Stojanovic, Stephan Weibelzahl (eds.) |
LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4. - 6. Oktober 2004, Workshopwoche der GI-Fachgruppen/Arbeitskreise (1) Fachgruppe Adaptivität und Benutzermodellierung in Interaktiven Softwaresystemen (ABIS 2004), (2) Arbeitskreis Knowledge Discovery (AKKD 2004), (3) Fachgruppe Maschinelles Lernen (FGML 2004), (4) Fachgruppe Wissens- und Erfahrungsmanagement (FGWM 2004) |
LWA |
2004 |
DBLP BibTeX RDF |
|
| 1 | Korinna Grabski, Tobias Scheffer |
Sentence completion. |
SIGIR |
2004 |
DBLP DOI BibTeX RDF |
applications, indexing methods, retrieval models |
| 1 | Ulf Brefeld, Tobias Scheffer |
Co-EM support vector learning. |
ICML |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Michael Kockelkorn, Andreas Lüneburg, Tobias Scheffer |
Using Transduction and Multi-view Learning to Answer Emails. |
PKDD |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Mark-A. Krogel, Tobias Scheffer |
Effectiveness of Information Extraction, Multi-Relational, and Semi-Supervised Learning for Predicting Functional Properties of Genes. |
ICDM |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Michael Kockelkorn, Andreas Lüneburg, Tobias Scheffer |
Learning to Answer Emails. |
IDA |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Mark-A. Krogel, Tobias Scheffer |
Effectiveness of information extraction, multi-relational, and multi-view learning for prediction gene deletion experiments. |
BIOKDD |
2003 |
DBLP BibTeX RDF |
|
| 1 | Tobias Scheffer, Stefan Wrobel |
Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling. |
Journal of Machine Learning Research |
2002 |
DBLP BibTeX RDF |
|
| 1 | Mark-A. Krogel, Marcus Denecke, Marco Landwehr, Tobias Scheffer |
Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study. |
SIGKDD Explorations |
2002 |
DBLP DOI BibTeX RDF |
ROC analyses, information extraction, text classification, KDD Cup, propositionalization |
| 1 | Tobias Scheffer, Stefan Wrobel, Borislav Popov, Damyan Ognianov, Christian Decomain, Susanne Hoche |
Lerning Hidden Markov Models for Information Extraction Actively from Partially Labeled Text. |
KI |
2002 |
DBLP BibTeX RDF |
|
| 1 | Tobias Scheffer, Stefan Wrobel |
A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases. |
PKDD |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Tobias Scheffer |
Finding Association Rules That Trade Support Optimally against Confidence. |
PKDD |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Tobias Scheffer, Christian Decomain, Stefan Wrobel |
Mining the Web with Active Hidden Markov Models. |
ICDM |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Tobias Scheffer, Stefan Wrobel |
Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems. |
ICML |
2001 |
DBLP BibTeX RDF |
|
| 1 | Tobias Scheffer, Christian Decomain, Stefan Wrobel |
Active Hidden Markov Models for Information Extraction. |
IDA |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Hans Gründel, Tino Naphtali, Christian Wiech, Jan-Marian Gluba, Maiken Rohdenburg, Tobias Scheffer |
Clipping and Analyzing News Using Machine Learning Techniques. |
Discovery Science |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Tobias Scheffer |
Nonparametric Regularization of Decision Trees. |
ECML |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Tobias Scheffer |
Predicting the Generalization Performance of Cross Validatory Model Selection Criteria. |
ICML |
2000 |
DBLP BibTeX RDF |
|
| 1 | Tobias Scheffer |
Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees. |
ALT |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Tobias Scheffer, Stefan Wrobel |
A sequential sampling algorithm for a general class of utility criteria. |
KDD |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Tobias Scheffer |
International Conference on Machine Learning (ICML-99). |
KI |
1999 |
DBLP BibTeX RDF |
|
| 1 | Tobias Scheffer |
Error Estimation and Model Selection. |
KI |
1999 |
DBLP BibTeX RDF |
|
| 1 | Tobias Scheffer |
Error estimation and model selection. |
|
1999 |
RDF |
|
| 1 | Tobias Scheffer, Thorsten Joachims |
Expected Error Analysis for Model Selection. |
ICML |
1999 |
DBLP BibTeX RDF |
|
| 1 | Andrew R. Mitchell, Tobias Scheffer, Arun Sharma, Frank Stephan |
The VC-Dimension of Subclasses of Pattern. |
ATL |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Tobias Scheffer, Thorsten Joachims |
Estimating the Expected Error of Empirical Minimizers for Model Selection. |
AAAI/IAAI |
1998 |
DBLP BibTeX RDF |
|
| 1 | Tobias Scheffer, Ralf Herbrich |
Unbiased Assesment of Learning Algorithms. |
IJCAI |
1997 |
DBLP BibTeX RDF |
|
| 1 | Tobias Scheffer, Russell Greiner, Christian Darken |
Why Experimentation can be better than "Perfect Guidance". |
ICML |
1997 |
DBLP BibTeX RDF |
|
| 1 | Tobias Scheffer, Ralf Herbrich, Fritz Wysotzki |
Efficient Theta-Subsumption Based on Graph Algorithms. |
Inductive Logic Programming Workshop |
1996 |
DBLP DOI BibTeX RDF |
|
| 1 | Tobias Scheffer |
A Generic Algorithm for Learning Rules with Hierarchical Exceptions. |
SBIA |
1995 |
DBLP DOI BibTeX RDF |
|
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