Hans-Joachim Lenz
2003
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Hans-Joachim Lenz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Johannes Fürnkranz
- William W. Cohen
- David Hilton Wolpert
- Dan Pelleg
- Kai Ming Ting
- Erin L. Allwein
- Ying Xu
Papers from Hans-Joachim Lenz's perspective
Ordered by how strongly the researchers Hans-Joachim Lenz trusts endorse each paper. Same corpus, a different order for every researcher.
- UCI Repository of machine learning databases
- Classification by Pairwise Coupling
- Fast Effective Rule Induction
- Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
- Original Contribution: Stacked generalization
- Separate-and-Conquer Rule Learning
- X-means: Extending K-means with Efficient Estimation of the Number of Clusters
- Programs for Machine Learning. Part I
- Issues in Stacked Generalization (Journal of Artificial Intelligence Research)
- Clustering gene expression data using a graph-theoretic approach: an application of minimum spanning trees (Bioinform.)
Their papers
- Advances in Intelligent Data Analysis V (2003) — 51 citations