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Subnet discovery in passive internally sensed network tomography
Passive internally-sensed network tomography is the study of network characteristics and behavior based on observations of network traffic on a select subset of links inside the network. In this research, we identify the ...
Error control for support vector machines
In binary classification there are two types of errors, and in many applications these may have very different costs. We consider two learning frameworks that address this issue: minimax classification, where we seek to ...