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• W3041542166 abstract "We introduce online probabilistic label trees (OPLTs), an algorithm that trains a label tree classifier in a fully online manner, without any prior knowledge about the number of training instances, their features and labels. OPLTs are characterized by low time and space complexity as well as strong theoretical guarantees. They can be used for online multi-label and multi-class classification, including the very challenging scenarios of one- or few-shot learning. We demonstrate the attractiveness of OPLTs in a wide empirical study on several instances of the tasks mentioned above." @default.
• W3041542166 created "2020-07-16" @default.
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• W3041542166 date "2020-07-08" @default.
• W3041542166 modified "2023-09-27" @default.
• W3041542166 title "Online probabilistic label trees" @default.
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