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This paper proposes a specialized decomposition algorithm, which incorporates the interior-point method into an augmented Lagrangian decomposition technique, for optimizing the quality of service through a data network. We show that many routing or resource allocation problems from the network literature can be recast into separable problems for which our algorithm can be applied. The proposed algorithm...
In this paper we present a novel approach and a new machine learning problem, called Supervised Novelty Detection (SND). This problem extends the One-Class Support Vector Machine setting for binary classification while keeping the nice properties of novelty detection problem at hand. To tackle this we approach binary classification from a new perspective using two different estimators and a coupled...
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