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Outlier Prevalence Analysis for Quantification of Unknown Entities

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opaque

Outlier Prevalence Analysis for Quantification of Unknown Entities

In progress open-world machine learning tool. Will allow for interval estimation of the proportion of datapoints in a real world dataset that are outside of the closed world of a training set under certain limited circumstances.

Funding

Development of this software was supported by the Defense Advanced Research Projects Agency under awards W911NF-20-1-0255 and W911NF-15-1-0544.

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Outlier Prevalence Analysis for Quantification of Unknown Entities

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