An Efficient Implementation of an Active Set Method for SVMs

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Support vector machines under adversarial label contamination (2015, methodology): “Alternatively, since our changes are smooth, the SVM solution can be more efficiently updated at each iteration using an active-set optimization algorithm initialized with the α values obtained from the previous iteration as a warm start [43].”
A novel Frank-Wolfe algorithm. Analysis and applications to large-scale SVM training (2013, methodology): “Among the traditional methods devised to cope with this problem, Active Set methods [49, 34, 50] and Sequential Minimal Optimization (SMO) [45, 16] are well-known alternatives among practitioners.”
Mobile Unmanned Aerial Vehicles (UAVs) for Energy-Efficient Internet of Things Communications (2017, background): “The interior point, however, is a suitable approach when the Hessian matrix is large and sparse [26].”
Supervised classification and mathematical optimization (2013, unknown): “[145, 155, 208, 226] and references therein.”
A Least-squares Approach to Direct Importance Estimation (2009, methodology): “Theℓ2-r gularization method will be used for theoretical analysis in Section 3.3.”