Jeremy L. Wyatt

Artificial Intelligence · 2004–2017

A researcher in the Science corpus: 6 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jeremy L. Wyatt trusts overall

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

  1. Leo Breiman
  2. Stuart Geman
  3. Anders Krogh
  4. John R. Koza
  5. Yoav Freund
  6. Prem Melville
  7. Elie Bienenstock
  8. Ludmila I. Kuncheva
  9. M. Islam
  10. Armin Hornung

Who trusts Jeremy L. Wyatt overall

  1. Lior Rokach
  2. M. A. Ganaie
  3. João Mendes-Moreira
  4. Omer Sagi
  5. Monther Alhamdoosh
  6. Douglas Morrison
  7. Minghui Hu
  8. Carlos Soares
  9. Yu Su
  10. Bartosz Krawczyk

Papers from Jeremy L. Wyatt's perspective

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

  1. Bagging Predictors
  2. Neural Network Ensembles, Cross Validation, and Active Learning
  3. Neural Networks and the Bias/Variance Dilemma
  4. Experiments with a New Boosting Algorithm
  5. Neural Network Ensembles
  6. Density Estimation for Statistics and Data Analysis
  7. Combining forecasts: A review and annotated bibliography
  8. Limits on the majority vote accuracy in classifier fusion (Pattern Analysis and Applications)
  9. Constructing Diverse Classifier Ensembles using Artificial Training Examples (International Joint Conference on Artificial Intelligence)
  10. Robotic grasping and contact: a review

Their papers