Jie Wang

Artificial Intelligence · Science Bulletin · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jie Wang trusts overall

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

  1. Jerome H. Friedman
  2. Chih-Jen Lin
  3. Niko Speybroeck
  4. Greg Ridgeway
  5. Yoav Freund
  6. Greg Schohn
  7. Mark A. Hall
  8. David William Aha
  9. Marc Sumner
  10. Eibe Frank

Who trusts Jie Wang overall

  1. Darius Phiri
  2. Xiao Zhang
  3. Phan Thanh Noi

Papers from Jie Wang's perspective

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

  1. Stochastic gradient boosting
  2. Neural Networks for Pattern Recognition
  3. Experiments with a New Boosting Algorithm
  4. LIBSVM: A library for support vector machines
  5. The WEKA data mining software: an update
  6. Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects?
  7. Less is More: Active Learning with Support Vector Machines
  8. Classification and regression trees
  9. Training set size requirements for the classification of a specific class
  10. Instance-based learning algorithms

Their papers