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Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in Data
We study multivariate conditional outlier detection, a special type of the conditional outlier detection problem, where data instances consist of continuous input (context) and binary output (responses) vectors. We present a novel outlier detection framework that identifies abnormal input-output ass...
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| Gepubliceerd in: | Proc Int Fla AI Res Soc Conf |
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| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6364855/ https://ncbi.nlm.nih.gov/pubmed/30740607 |
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