Tom Abbott

Bioinform. · 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 Tom Abbott trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yuhai Wu
  2. R. Fisher
  3. William N. Venables

Who trusts Tom Abbott overall

  1. Jennifer Listgarten

Papers from Tom Abbott's perspective

Ordered by how strongly the researchers Tom Abbott trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Modern Applied Statistics With S
  2. A Tutorial on Support Vector Machines for Pattern Recognition
  3. Bagging Predictors
  4. Pattern Recognition and Neural Networks
  5. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
  6. Statistical Learning Theory
  7. Improved Statistical Inference from DNA Microarray Data Using Analysis of Variance and A Bayesian Statistical Framework (Journal of Biological Chemistry)
  8. Modern Applied Statistics with S Fourth edition
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion

Their papers