Kee-Hoon Kang

2005

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Kee-Hoon Kang trusts overall

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

  1. Gábor Lugosi
  2. Leo Breiman
  3. Enno Mammen
  4. Jerome H. Friedman

Who trusts Kee-Hoon Kang overall

  1. Tarn Duong
  2. Richard J. Samworth

Papers from Kee-Hoon Kang's perspective

Ordered by how strongly the researchers Kee-Hoon Kang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Random Forests
  2. A general lower bound on the number of examples needed for learning
  3. Smooth Discrimination Analysis
  4. Arcing classifier (with discussion and a rejoinder by the author)
  5. Discriminatory Analysis - Nonparametric Discrimination: Consistency Properties
  6. On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
  7. On the Posterior Probability estimate of the error rate of nonparametric classification rules
  8. Classification Trees With Unbiased Multiway Splits
  9. Bagging Predictors
  10. The Nature of Statistical Learning Theory

Their papers