J. Alexander

Artificial Intelligence · with Betts · 2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Alexander trusts overall

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

  1. Jerome H. Friedman
  2. David Ruppert

Papers from J. Alexander's perspective

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

  1. Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
  2. Greedy function approximation: A gradient boosting machine.
  3. A working guide to boosted regression trees.
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. Determination of Deforestation Rates of the World's Humid Tropical Forests (Science)
  6. Remote sensing for biodiversity science and conservation
  7. Grinnellian and Eltonian niches and geographic distributions of species. (Ecology Letters)
  8. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  9. Predicting species distributions across the Amazonian and Andean regions using remote sensing data
  10. R: A language and environment for statistical computing.

Their papers