Alan Yu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alan Yu trusts overall

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

  1. Leo Breiman
  2. Kenneth Train
  3. Jerome H. Friedman
  4. Tin Kam Ho
  5. Max Kuhn
  6. S. Brandt
  7. Daniel McFadden
  8. David A. Hensher
  9. Trevor J. Hastie
  10. Andrew McCallum

Papers from Alan Yu's perspective

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

  1. Random Forests
  2. Bagging Predictors
  3. Greedy function approximation: A gradient boosting machine.
  4. The Random Subspace Method for Constructing Decision Forests
  5. MIXED MNL MODELS FOR DISCRETE RESPONSE
  6. Discrete Choice Methods with Simulation by Kenneth E. Train
  7. Classification and Regression by randomForest
  8. C4.5: Programs for Machine Learning
  9. Building Predictive Models in R Using the caret Package
  10. Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

Their papers