Yong Liu

with 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 Yong Liu trusts overall

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

1. Jerome H. Friedman

Papers from Yong Liu's perspective

Ordered by how strongly the researchers Yong Liu 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. UCI Repository of machine learning databases
10. A theory of the learnable

Their papers

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