Hua Yu
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS) · with Guo · 2016
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Hua Yu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Christine Tuleau-Malot (in Artificial Intelligence)
- Robin Genuer (in Artificial Intelligence)
- Jean‐Michel Poggi (in Artificial Intelligence)
Papers from Hua Yu's perspective
Ordered by how strongly the researchers Hua Yu trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Variable selection using random forests
- Bagging Predictors
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- 双対平坦空間におけるLeast Angle Regressionと情報量規準
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
- Consistency of Random Forests and Other Averaging Classifiers
- Extremely randomized trees