David Ward

Bioinform. · 2003

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 David Ward trusts

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

1. R. Fisher (in Statistical Learning Theory)
2. Yuhai Wu (in Artificial Intelligence)

Papers from David Ward's perspective

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

1. Modern Applied Statistics With S
2. A Tutorial on Support Vector Machines for Pattern Recognition
3. Pattern Recognition and Neural Networks
4. Bagging Predictors
5. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
6. Improved Statistical Inference from DNA Microarray Data Using Analysis of Variance and A Bayesian Statistical Framework (Journal of Biological Chemistry)
7. Modern Applied Statistics with S Fourth edition
8. Statistical Learning Theory
9. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
10. What regularized auto-encoders learn from the data-generating distribution

Their papers

• Comparison of statistical methods for classification of ovarian cancer using mass spectrometry data (2003) — 477 citations