Ash Booth

Management Science and Operations Research · 2014

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Ash Booth trusts overall

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

  1. Leo Breiman
  2. Lijuan Cao
  3. Andy Liaw
  4. Nick Littlestone
  5. Isabelle M Guyon
  6. Germán G. Creamer
  7. Wei Huang
  8. Trevor J. Hastie
  9. Yoav Freund
  10. Andre´ Elisseeff

Who trusts Ash Booth overall

  1. Flavio Luiz de Moraes Barboza
  2. Herbert Kimura

Papers from Ash Booth's perspective

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

  1. Bagging Predictors
  2. Random Forests
  3. The Nature of Statistical Learning Theory
  4. An Introduction to Variable and Feature Selection
  5. Application of support vector machines in !nancial time series forecasting
  6. ImageNet classification with deep convolutional neural networks
  7. The weighted majority algorithm
  8. Image Classification using Random Forests and Ferns (IEEE International Conference on Computer Vision)
  9. Gradient-based learning applied to document recognition
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers