Hui Peng

Artificial Intelligence · with Liu · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Environmental Engineering — 5 citations into it

Whom Hui Peng trusts overall

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

1. J. Ross Quinlan
2. Leo Breiman
3. Vladimir Naumovich Vapni
4. Mahesh Pal

Papers from Hui Peng's perspective

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

1. The Nature of Statistical Learning Theory
2. Bagging Predictors
3. C4.5: Programs for Machine Learning
4. Relations Between Two Sets of Variates
5. Random Forests
6. Random forest classifier for remote sensing classification
7. Recurrent least squares support vector machines
8. A tutorial on support vector regression
9. Support vector machine applications in the field of hydrology: A review (Applied Soft Computing)
10. Induction of decision trees

Their papers

• Short-term prediction of groundwater level using improved random forest regression with a combination of random features (2018) — 94 citations