Multi-group support vector machines with measurement costs: A biobjective approach

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Strongly agree or strongly disagree?: Rating features in Support Vector Machines (2016, background): “As we will illustrate in Section 4, tuning e ciently the parameters is a necessary and challenging problem, Carrizosa et al. (2014). In order to alleviate this computational burden, a collection of strategies is proposed.”
Binarized Support Vector Machines (2010, background): “See, for instance, Bennett (1999), Bradley and Mangasarian (1998), Carrizosa et al. (2008), Mangasarian (2000, 1965), Smola et al. (1998), Weston et al. (1999), and the references therein.”
Supervised classification and mathematical optimization (2013, methodology): “In spite of the benefits of modeling distances to hyperplanes with the Euclidean distance, several authors have proposed the use of other distance measures [47, 48, 149, 163, 191, 247], mainly the `1 norm.”