Lin Gao

Artificial Intelligence · with Cao · 2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Statistical Learning Theory — 8 citations into it
• Statistics and Probability — 5 citations into it

Whom Lin Gao trusts overall

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

1. Eric R. Ziegel
2. Robert E. Schapire

Papers from Lin Gao's perspective

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

1. The Elements of Statistical Learning
2. The Nature of Statistical Learning Theory
3. UCI Repository of machine learning databases
4. Generalized Linear Models
5. Special Invited Paper-Additive logistic regression: A statistical view of boosting
6. The Strength of Weak Learnability
7. Statistical learning theory
8. A theory of the learnable
9. Game theory, on-line prediction and boosting
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Advance and Prospects of AdaBoost Algorithm (2013) — 536 citations