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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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| 出版年: | Proc Int Fla AI Res Soc Conf |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6364855/ https://ncbi.nlm.nih.gov/pubmed/30740607 |
| タグ: |
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