Dean Bowman

Artificial Intelligence · 2016

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dean Bowman trusts overall

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

  1. Jerome H. Friedman
  2. Trevor J. Hastie
  3. Leo Breiman
  4. Niko Speybroeck
  5. Ron Kohavi
  6. Pedro M. Domingos
  7. Greg Ridgeway
  8. Chao Chen
  9. Gérard Biau

Papers from Dean Bowman's perspective

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

  1. Random Forests
  2. Stochastic gradient boosting
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. Greedy function approximation: A gradient boosting machine.
  5. SMOTE: Synthetic Minority Over-sampling Technique
  6. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  7. Classification and regression trees
  8. Random Search for Hyper-Parameter Optimization
  9. Analysis of a Random Forests Model
  10. Using Random Forest to Learn Imbalanced Data

Their papers