Yourong Wang
International Conference on Information Computing and Applications · 2012
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Yourong Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yourong Wang's perspective
Ordered by how strongly the researchers Yourong Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
- An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
- Shape Quantization and Recognition with Randomized Trees
- Random Forests
- The Random Subspace Method for Constructing Decision Forests
- The Nature of Statistical Learning Theory
- Bias, Variance , And Arcing Classifiers
- ImageNet classification with deep convolutional neural networks
- Some methods for classification and analysis of multivariate observations
Their papers
- New Machine Learning Algorithm: Random Forest (2012) — 536 citations