Tingting Xu

Artificial Intelligence · with Brisimi · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tingting Xu trusts overall

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

  1. Trevor J. Hastie
  2. Vladimir Naumovich Vapni
  3. Eduardo Sontag
  4. Leo Breiman
  5. Corinna Cortes
  6. John Hartigan
  7. Arthur P. Dempster
  8. Wuyang Dai
  9. Jerome H. Friedman
  10. Llew Mason

Who trusts Tingting Xu overall

  1. Theodora S. Brisimi

Papers from Tingting Xu's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Support-Vector Networks
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  5. Random Forests
  6. Bayesian t tests for accepting and rejecting the null hypothesis (Psychonomic Bulletin & Review)
  7. Boosting Algorithms as Gradient Descent
  8. Introduction to Statistical Learning Theory
  9. A machine learning-based framework to identify type 2 diabetes through electronic health records
  10. Points of Significance: Classification evaluation

Their papers