Matthew R. Hallowell

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew R. Hallowell trusts overall

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

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

Who trusts Matthew R. Hallowell overall

  1. Antoine Jean-Pierre Tixier

Papers from Matthew R. Hallowell's perspective

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

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

Their papers