Zeyar Aung

Artificial Intelligence · with Berrar · 2004–2014

A researcher in the Science corpus: 2 papers; trusts 1 researcher 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 — 6 citations into it

Whom Zeyar Aung trusts

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

1. Jerome H. Friedman (in Statistics and Probability)

Papers from Zeyar Aung's perspective

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

1. Bagging Predictors
2. Experiments with a New Boosting Algorithm
3. Random Forests
4. Greedy function approximation: A gradient boosting machine.
5. A decision-theoretic generalization of on-line learning and an application to boosting
6. Special Invited Paper-Additive logistic regression: A statistical view of boosting
7. Fast Effective Rule Induction
8. Nearest neighbor pattern classification
9. LIBSVM: A library for support vector machines
10. An Introduction to Variable and Feature Selection

Their papers

• Detecting click fraud in online advertising: a data mining approach (2014) — 95 citations
• Rapid 3D protein structure database searching using information retrieval techniques (2004) — 52 citations