Yu-Shan Shih

Statistics and Probability · 1997–2007

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 11 citations into it; #1,159 of 12,932 by trust here, #1,860 by citations
• Statistical Learning Theory — 7 citations into it; #220 of 1,038 by trust here, #358 by citations

Whom Yu-Shan Shih trusts overall

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

1. J. Ross Quinlan
2. R. Fisher
3. Jerome H. Friedman
4. Robert Craig Holte
5. John Hartigan
6. Steven L. Salzberg
7. William N. Venables
8. Leo Breiman
9. Wei-Yin Loh
10. Sreerama K. Murthy

Who trusts Yu-Shan Shih overall

1. Wei-Yin Loh
2. Jack Dunn
3. Torsten Hothorn
4. Dimitris J. Bertsimas
5. Achim Zeileis
6. Carlotta Orsenigo
7. João Gama
8. C. Sutton
9. Vinícius G. Costa
10. J. Brian Gray

Papers from Yu-Shan Shih's perspective

Ordered by how strongly the researchers Yu-Shan Shih trusts endorse each paper. Same corpus, a different order for every researcher.

1. UCI Repository of machine learning databases
2. Hedonic housing prices and the demand for clean air
3. C4.5: Programs for Machine Learning
4. Neural Networks for Pattern Recognition
5. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
6. Pattern Recognition and Neural Networks
7. Bias, Variance , And Arcing Classifiers
8. Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
9. Subset Selection in Regression
10. Theory and Applications of Agnostic PAC-Learning with Small Decision Trees

Their papers

• SPLIT SELECTION METHODS FOR CLASSIFICATION TREES (1997)
• Visualizable and interpretable regression models with good prediction power (2007) — 57 citations
• A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms (2000) — 1,264 citations