Ji-Hyun Kim

Computational Statistics & Data Analysis · 2003–2009

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Whom Ji-Hyun Kim trusts overall

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

  1. Yoav Freund
  2. Ulisses M. Braga-Neto
  3. Annette M. Molinaro
  4. Robert E. Schapire
  5. Edward R. Dougherty
  6. Ron Kohavi
  7. Richard M. Simon
  8. Ruth M. Pfeiffer
  9. Niko Speybroeck
  10. Bradley Efron

Who trusts Ji-Hyun Kim overall

  1. Salvatore Ruggieri
  2. Abdulhakim M. Abdi
  3. Leonardo Uieda
  4. Chakkrit Kla Tantithamthavorn
  5. Despoina Chatzakou
  6. Quan Zou
  7. Valeria C. F. Barbosa
  8. Shane McIntosh
  9. Bernd Bischl
  10. Nicolas Kourtellis

Papers from Ji-Hyun Kim's perspective

Ordered by how strongly the researchers Ji-Hyun Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Is cross-validation valid for small-sample microarray classification? (Bioinform.)
  2. A decision-theoretic generalization of on-line learning and an application to boosting
  3. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  4. Prediction error estimation: a comparison of resampling methods (Bioinform.)
  5. Statistical learning theory
  6. A Probabilistic Theory of Pattern Recognition
  7. A theory of the learnable
  8. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
  9. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  10. Cross‐Validatory Choice and Assessment of Statistical Predictions

Their papers