Tag Archives: k-nearest neighbors

Low false positive learning with support vector machines

In automated computer-based diagnosis systems, falsely determining that a case is normal is much more serious than falsely determining that the case is abnormal, especially if the system is being used for triage of patients. This is an example where … Continue reading

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