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— We present an automated system for the diagnosis of both known and unknown soft-failures in end-user devices (UDs). Known faults that cause network performance degradation are used to train the classifier-based system in a supervised manner while unknown faults are automatically detected and clustered to identify the existence of new categories of(More)
We analyze the e¤ect of a Federal Reserve Board's subprime mortgage regulation requiring escrows on the availability of mortgage credit. Due to all mortgage originators being a¤ected by the regulation, there is no natural control group for a¤ected markets. We use the assumption of pro…t maximization to construct a control group. Applying a(More)
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