Leo Guelman

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #33,908 of 35,345 by trust here, #30,347 by citations
• Statistics and Probability — 8 citations into it; #12,503 of 12,932 by trust here, #9,714 by citations
• Statistical Learning Theory — 6 citations into it

Whom Leo Guelman trusts overall

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

1. Jerome H. Friedman
2. Eric R. Ziegel
3. Greg Ridgeway
4. Yoav Freund
5. Gary King
6. Robert E. Schapire
7. Langche Zeng
8. Leo Breiman
9. Philip Ka-Fai Chan
10. Andrew Estabrooks

Who trusts Leo Guelman overall

1. Yufei Xia
2. Michael Ridley

Papers from Leo Guelman's perspective

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

1. Generalized Linear Models
2. Greedy function approximation: A gradient boosting machine.
3. The Elements of Statistical Learning
4. Stochastic gradient boosting
5. Experiments with a New Boosting Algorithm
6. Explaining Rare Events in International Relations (International Organization)
7. The Strength of Weak Learnability
8. UCI Repository of machine learning databases
9. The Nature of Statistical Learning Theory
10. Neural Networks for Pattern Recognition

Their papers

• Gradient boosting trees for auto insurance loss cost modeling and prediction (2012) — 238 citations