G. Mcgregor

2004

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

Whom G. Mcgregor trusts

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

1. Jerome H. Friedman (in Statistical Learning Theory)

Papers from G. Mcgregor's perspective

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

1. Greedy function approximation: A gradient boosting machine.
2. Classification and regression trees
3. Experiments with a New Boosting Algorithm
4. The Boosting Approach to Machine Learning An Overview
5. A Short Introduction to Boosting
6. Game theory, on-line prediction and boosting
7. Bias, Variance , And Arcing Classifiers
8. The Strength of Weak Learnability
9. A theory of the learnable
10. UCI Repository of machine learning databases

Their papers

• Boosted decision trees as an alternative to artificial neural networks for particle identification (2004) — 600 citations