David Robinson
with Silge · 2017
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom David Robinson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from David Robinson's perspective
Ordered by how strongly the researchers David Robinson trusts endorse each paper. Same corpus, a different order for every researcher.
- Text Mining Infrastructure in R
- Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- Building a Large Annotated Corpus of English: The Penn Treebank
- An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
- Indexing by Latent Semantic Analysis
- Cluster Analysis for Applications
- Learning Kernel Classifiers: Theory and Algorithms
- RCV1: A New Benchmark Collection for Text Categorization Research
- Learning to classify text using support vector machines - methods, theory and algorithms (The Kluwer International Series in Engineering and Computer Science)
Their papers
- Text Mining with R: A Tidy Approach (2017) — 465 citations