Michael R. Kenwick
2015
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Michael R. Kenwick trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Michael R. Kenwick's perspective
Ordered by how strongly the researchers Michael R. Kenwick trusts endorse each paper. Same corpus, a different order for every researcher.
- Text Categorization with Support Vector Machines: Learning with Many Relevant Features
- The Nature of Statistical Learning Theory
- Statistical Learning Theory
- Ììì Öûûò Ë Blockinöö Óóóòòòö Áòøøöòòøøóòòð
- Learning to classify text using support vector machines - methods, theory and algorithms (The Kluwer International Series in Engineering and Computer Science)
- Text Categorization Based on Regularized Linear Classification Methods (Information retrieval (Boston))
- The MID3 Data Set, 1993—2001: Procedures, Coding Rules, and Description
- Research Design and Estimator Choices in the Analysis of Interstate Dyads
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- The MID4 dataset, 2002–2010: Procedures, coding rules and description (2015) — 298 citations