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  • Content Type: Abstract

    This paper describes how powerful detectors of adverse events manifested in multivariate series of bio-surveillance data can be learned using only a few labeled instances of such events.
    … using domain expertise, if the amount of available training data is insufficient to support automated learning … for machine learning techniques which would allow for training specific detectors even if the number of iden- … improvement can be obtained by combining into the training data labels on false posi- tives with one, then …