Ji Zhu

with Liu · 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 Ji Zhu trusts overall

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

1. Jerome H. Friedman
2. Yoav Freund
3. Robert E. Schapire

Papers from Ji Zhu's perspective

Ordered by how strongly the researchers Ji Zhu 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. A theory of the learnable
9. The Strength of Weak Learnability
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