AN EXPERIMENTAL COMPARISON OF STATISTICAL AND LINEAR PROGRAMMING APPROACHES TO THE DISCRIMINANT PROBLEM

By S. M. Bajgier, A. Hill. 1982

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Cynthia Rudin
2. Berk Ustun
3. Tong Wang
4. Fadime Üney Yüksektepe
5. Metin Türkay
6. Nadia Burkart
7. Ş. Ertekin
8. Zhi Chen

Citations in the corpus

• Supersparse linear integer models for optimized medical scoring systems (2015, methodology): “MIP formulations to minimize the 0–1 loss, for instance, were first proposed in Liittschwager and Wang (1978) and Bajgier and Hill (1982), and later refined by Mangasarian (1994), Asparoukhov and Stam (1997) and Glen (1999).”
• A Mixed-Integer Programming Approach to Multi-Class Data Classification Problem by (2005, background): “There have been several attempts to formulate data classification problems as MILP problems [34-37].”