A Mixed-Integer Programming Approach to Multi-Class Data Classification Problem by
By Fadime Üney Yüksektepe, Metin Türkay. 2005
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sicco Verwer
- Yingqian Zhang
- Emmanuel Hebrard
- Barry O'Sullivan
- Christian Bessiere
- Emir Demirovi'c
- Vinícius G. Costa
- Murat Firat
Citations in the corpus
- Learning Optimal Classification Trees Using a Binary Linear Program Formulation (2019, methodology): “(Uney and Turkay 2006) build a mixed integer program for multi-class data classification.”
- Supervised classification and mathematical optimization (2013, unknown): “…others, Global Optimization [9] [13] [51] [128] [160] [245], Linear Programming [94] [158] [205] Mixed-Integer Programming [25] [39] [50] [77] [220] [228], Nonsmooth Optimization [7] [13] [44] [51] [222] [223], Multicriteria and Multi-Objective Programming [68] [93] [181] [248] and Robust…”
- Minimising Decision Tree Size as Combinatorial Optimisation (2009, background): “The use of combinatorial optimisation to improve decision trees has also been reported [9], where the focus has been on determining linear-combination splits for the decision tree.”