Simon Pearson

Italian National Conference on Sensors · 2018

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Simon Pearson trusts overall

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

  1. J. Ross Quinlan
  2. Robert E. Schapire
  3. Leo Breiman
  4. Jerome H. Friedman
  5. William S. Cleveland
  6. D. R. Cox
  7. Rohan Shah

Who trusts Simon Pearson overall

  1. Athanasios Balafoutis

Papers from Simon Pearson's perspective

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

  1. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  2. Bagging Predictors
  3. Random Forests
  4. The perceptron: a probabilistic model for information storage and organization in the brain.
  5. Deep Boltzmann Machines
  6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  7. LIBSVM: A library for support vector machines
  8. Some Studies in Machine Learning Using the Game of Checkers
  9. Experiments with a New Boosting Algorithm
  10. C4.5: Programs for Machine Learning

Their papers