Victor S. Sheng

with Ipeirotis · 2008

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Whom Victor S. Sheng trusts overall

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

  1. J. Ross Quinlan
  2. A. P. Dawid
  3. Peter D. Turney
  4. Trevor J. Hastie
  5. Pedro M. Domingos
  6. Charles Peter Elkan
  7. Leo Breiman
  8. Gábor Lugosi
  9. Gary M. Weiss
  10. Rong Jin

Who trusts Victor S. Sheng overall

  1. Burr Settles
  2. Olga Russakovsky
  3. Michael S. Bernstein
  4. Ethan Fast
  5. Justin Cheng
  6. Hector Garcia-Molina
  7. Peter Welinder
  8. Man-Ching Yuen
  9. Pedro Calais Guerra
  10. Nilesh N. Dalvi

Papers from Victor S. Sheng's perspective

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

  1. C4.5: Programs for Machine Learning
  2. Random Forests
  3. UCI Repository of machine learning databases
  4. MetaCost: a general method for making classifiers cost-sensitive
  5. Improving Generalization with Active Learning
  6. The Foundations of Cost-Sensitive Learning
  7. Learning multi-label scene classification (Pattern Recognition)
  8. Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm
  9. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
  10. Cost-sensitive learning by cost-proportionate example weighting

Their papers