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The support vector machine (SVM), which is an effective and robust classifier, has been applied into many security problems successfully. Since these problems change over the time, the incremental learning is usually applied in SVMs. However, an intelligent adversary who misleads the learning of SVMs by manipulating the training samples may present in the security problems. As the conventional incremental...
Scheduling delay-tolerant tasks based on both load-and channel-awareness can significantly reduce the peak demand in cellular networks. However, solving the optimal scheduling problem leads to a large-scale Markov Decision Process (MDP) with extremely high complexity. In this work, we propose a scalable and distributed approach to this problem, called Coordinated Scheduling (CoSchd). CoSchd decomposes...
This paper studies the problem of optimally allocating a cash injection into a financial system in distress. We investigate a one-period borrower-lender network with no dynamics, in which all debts are due at the same time and have the same seniority. Every node in the network represents a financial institution, and every node is labeled with a nonnegative real number which is the cash on hand that...
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