Qiang Wu

Artificial Intelligence · with Burges · 2010

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

Subfields

• Artificial Intelligence — 6 citations into it; #34,344 of 35,345 by trust here, #17,776 by citations

Whom Qiang Wu trusts overall

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

1. Jerome H. Friedman
2. Kalervo Järvelin
3. Yisong Yue

Who trusts Qiang Wu overall

1. Jianfeng Gao
2. Li Zhou

Papers from Qiang Wu's perspective

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

1. Greedy function approximation: A gradient boosting machine.
2. Learning to rank using gradient descent
3. IR evaluation methods for retrieving highly relevant documents
4. A support vector method for optimizing average precision (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
5. The Nature of Statistical Learning Theory
6. The Elements of Statistical Learning
7. Information Theory: 1948-1998 - Guest Editorial
8. Learning representations by back-propagating errors
9. Classification by Pairwise Coupling
10. Bagging Predictors

Their papers

• Adapting boosting for information retrieval measures (2010) — 463 citations