Dahai Zhang

Artificial Intelligence · 2017–2018

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 Dahai Zhang trusts overall

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

  1. Jerome H. Friedman
  2. Tianqi Chen
  3. Leo Breiman
  4. Trevor J. Hastie
  5. Claudia Lindner
  6. Carlos Guestrin
  7. Fabian Pedregosa

Papers from Dahai Zhang's perspective

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

  1. Bagging Predictors
  2. Greedy function approximation: A gradient boosting machine.
  3. Random Forests
  4. Scikit-learn: Machine Learning in Python
  5. XGBoost: A Scalable Tree Boosting System
  6. Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  7. Variable Selection Using Random Forests
  8. Fault-Tolerant Control of Wind Turbines: A Benchmark Model (IEEE Transactions on Control Systems Technology)
  9. FAST User's Guide
  10. Regression Shrinkage and Selection via the Lasso

Their papers