Eng Yeow Cheu
Artificial Intelligence · 2014
A researcher in the Science corpus: 1 paper; 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 Eng Yeow Cheu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman (in Statistics and Probability)
Papers from Eng Yeow Cheu's perspective
Ordered by how strongly the researchers Eng Yeow Cheu trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Special Invited Paper-Additive logistic regression: A statistical view of boosting
- Random Forests
- A decision-theoretic generalization of on-line learning and an application to boosting
- Experiments with a New Boosting Algorithm
- Greedy function approximation: A gradient boosting machine.
- Fast Effective Rule Induction
- LIBSVM: A library for support vector machines
- LIBLINEAR: A Library for Large Linear Classification
- Nearest neighbor pattern classification
Their papers
- Detecting click fraud in online advertising: a data mining approach (2014) — 95 citations