Ghim-Eng Yap

Artificial Intelligence · 2008–2014

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Statistical Learning Theory — 9 citations into it
• Statistics and Probability — 6 citations into it

Whom Ghim-Eng Yap trusts overall

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

1. J. Ross Quinlan
2. Steven L. Salzberg
3. Geoffrey G. Towell
4. Jude W. Shavlik
5. Alberto Maria Segre
6. Michael Strevens
7. Carmen Lacave

Who trusts Ghim-Eng Yap overall

1. Or Biran
2. Giulia Vilone

Papers from Ghim-Eng Yap's perspective

Ordered by how strongly the researchers Ghim-Eng Yap trusts endorse each paper. Same corpus, a different order for every researcher.

1. Nearest neighbor pattern classification
2. A decision-theoretic generalization of on-line learning and an application to boosting
3. Random Forests
4. C4.5: Programs for Machine Learning
5. Experiments with a New Boosting Algorithm
6. MetaCost: a general method for making classifiers cost-sensitive
7. Greedy function approximation: A gradient boosting machine.
8. Bagging Predictors
9. UCI Repository of machine learning databases
10. Special Invited Paper-Additive logistic regression: A statistical view of boosting

Their papers

• Detecting click fraud in online advertising: a data mining approach (2014) — 95 citations
• Explaining inferences in Bayesian networks (2008) — 57 citations