Searching for authors named "Tobias Scheffer" – sorted by Relevance.
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Nonparametric Regularization of Decision Trees
- /IWS, Universitatsplatz 2, 39106 Magdeburg, Germany scheffer@(email omitted); Abstract. We discuss
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Predicting the Generalization Performance of Cross Validatory Model Selection Criteria
- . Predicting the Generalization Performance of Cross Validatory Model Selection Criteria Tobias Scheer scheffer
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Predicting the Relation between Model Class, Domain, and Error Rate
- One of the questions central to the field of Meta-Learning is how domain properties, the model class that a learner uses, and the resulting error rate relate. The histogram of error rates in a given model class is a joint property of model class and domain. For a certain class of learners, this prop
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Email Answering Assistance by Semi-Supervised Text Classification
- Classification Tobias Scheffer Humboldt-Universität zu Berlin Department of Computer Science Unter den Linden 6
- Cited by 4 (1 self) – Add To MetaCart
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Multi-relational learning, text mining, and semi-supervised learning for functional genomics
- 2, 39106 Magdeburg, Germany TOBIAS SCHEFFER scheffer@(email omitted); Humboldt-Universität zu
- Cited by 4 (0 self) – Add To MetaCart
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Average-Case Analysis of Classification Algorithms for Boolean Functions and Decision Trees
- Scheer University of Magdeburg, FIN/IWS P.O. Box 4120, 39016 Magdeburg, Germany scheffer
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Algebraic Foundation and Improved Methods of Induction of Ripple Down Rules
- Algebraic Foundation and Improved Methods of Induction of Ripple Down Rules Tobias Scheffer
- Cited by 20 (2 self) – Add To MetaCart
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Finding Association Rules that Trade Support Optimally Against Confidence
- SemanticEdge, Kaiserin-Augusta-Allee 10-11, 10553 Berlin, Germany scheffer
- Cited by 12 (0 self) – Add To MetaCart
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Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems
- Tobias Scheer 1;2 scheffer@(email omitted); Stefan Wrobel 1 wrobel@(email omitted); 1
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A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases
- , Germany scheffer@(email omitted); 2 FhG AiS, Schlo Birlinghoven 53754 Sankt Augustin, Germany 3
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