Gavin Brown

Statistics and Probability · with Nogueira · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gavin Brown trusts overall

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

  1. J. Fleiss
  2. Ludmila I. Kuncheva
  3. David Ruppert
  4. Maqc Consortium
  5. K. Gwet
  6. Isabelle M Guyon
  7. Nicolai Meinshausen

Papers from Gavin Brown's perspective

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

  1. A stability index for feature selection
  2. An Introduction to Variable and Feature Selection
  3. Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
  4. Robust Feature Selection Using Ensemble Feature Selection Techniques (ECML/PKDD)
  5. Stability of feature selection algorithms: a study on high-dimensional spaces
  6. Measuring nominal scale agreement among many raters.
  7. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  8. A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance
  9. Stability selection
  10. The measurement of interrater agreement

Their papers