H. Duan

with Deng · 2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom H. Duan trusts overall

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

  1. Eric Bauer
  2. Yang Shao
  3. Ron Kohavi
  4. Ross S. Lunetta

Papers from H. Duan's perspective

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

  1. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
  2. Comparison of support vector machine, neural network, and CART algorithms for the land-cover classification using limited training data points
  3. Bagging Predictors
  4. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  5. Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
  6. C4.5: Programs for Machine Learning
  7. Boosting the margin: A new explanation for the effectiveness of voting methods
  8. On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
  9. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning
  10. Experiments with a New Boosting Algorithm

Their papers