Extending Support Vector Regression to Constraint Optimization: Application to the Reduction of Potentially Avoidable Hospitalizations

Tu Ngo, Vera Georgescu, Carmen Gervet, Anne Laurent, Thérèse Libourel, Grégoire Mercier. Extending Support Vector Regression to Constraint Optimization: Application to the Reduction of Potentially Avoidable Hospitalizations. In Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García Martín, Ricard Gavaldà, Stefan Kramer 0001, Niklas Lavesson, Michael Madden 0002, Ian Molloy, Maria-Irina Nicolae, Mathieu Sinn, editors, ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Volume 11329 of Lecture Notes in Computer Science, pages 89-102, Springer, 2018. [doi]

Abstract

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