Qing Zeng-Treitler

Statistics and Probability · 2004–2012

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Qing Zeng-Treitler trusts overall

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

  1. Foster J. Provost

Who trusts Qing Zeng-Treitler overall

  1. Karimollah Hajian-Tilaki
  2. Ibrahim M. Alabdulmohsin
  3. Mark Johnson

Papers from Qing Zeng-Treitler's perspective

Ordered by how strongly the researchers Qing Zeng-Treitler trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Adaptive Lasso and Its Oracle Properties
  2. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  3. What Are Degrees of Freedom
  4. Efficient progressive sampling
  5. Support Vector Machine Active Learning with Applications to Text Classification
  6. Text Classification from Labeled and Unlabeled Documents using EM
  7. On the “degrees of freedom” of the lasso
  8. SNOMED clinical terms: overview of the development process and project status (American Medical Informatics Association Annual Symposium)
  9. The Object Constraint Language: Getting Your Models Ready for MDA
  10. Comparing computer-interpretable guideline models: a case-study approach.

Their papers