Michael LeBlanc

Statistical Learning Theory · 1992–2010

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Michael LeBlanc trusts overall

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

  1. Jerome H. Friedman
  2. Yoav Freund
  3. Lacey Gunter
  4. Leo Breiman
  5. Robert Tibshirani
  6. Robert E. Schapire
  7. Nicholas I. Fisher
  8. Ji Zhu
  9. Trevor J. Hastie
  10. Susan A. Murphy

Who trusts Michael LeBlanc overall

  1. Wei-Yin Loh
  2. Ping Wang
  3. Kosuke Imai
  4. Torsten Hothorn
  5. Imad Bou-Hamad
  6. Yan Li
  7. Annette M. Molinaro
  8. Hemant Ishwaran
  9. M. J. van der Laan
  10. Sandrine Dudoit

Papers from Michael LeBlanc's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Experiments with a New Boosting Algorithm
  3. Regression Shrinkage and Selection via the Lasso
  4. The Nature of Statistical Learning Theory
  5. Variable Selection for Qualitative Interactions
  6. Model selection and estimation in regression with grouped variables
  7. Local Likelihood Estimation
  8. Bump hunting in high-dimensional data
  9. Simulated annealing and Boltzmann machines
  10. Bagging Predictors

Their papers