Michèl Schummer
Bioinform. · 2000–2003
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 16 researchers here, as inferred from the citation graph.
Whom Michèl Schummer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Michèl Schummer overall
Papers from Michèl Schummer's perspective
Ordered by how strongly the researchers Michèl Schummer trusts endorse each paper. Same corpus, a different order for every researcher.
- A training algorithm for optimal margin classifiers
- Statistical learning theory
- The perceptron: a probabilistic model for information storage and organization in the brain.
- Measuring the accuracy of diagnostic systems.
- Introduction to Support Vector Machines
- Signaling and circuitry of multiple MAPK pathways revealed by a matrix of global gene expression profiles. (Science)
- Analysis of gene expression profiles in normal and neoplastic ovarian tissue samples identifies candidate molecular markers of epithelial ovarian cancer. (Proceedings of the National Academy of Sciences of the United States of America)
- Large Margin Classification Using the Perceptron Algorithm
- Tissue Classification with Gene Expression Profiles (Annual International Conference on Research in Computational Molecular Biology)
- Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites (German Conference on Bioinformatics)
Their papers
- Support vector machine classification and validation of cancer tissue samples using microarray expression data (2000) — 2,546 citations
- Tissue Classification with Gene Expression Profiles (2000) — 836 citations
- The HE4 (WFDC2) protein is a biomarker for ovarian carcinoma. (2003) — 771 citations