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--- ml:extreme_multi-label_classification [2025/06/06 23:24] – [Extreme Multi-Label Classification] jmflanig
+++ ml:extreme_multi-label_classification [2025/06/06 23:25] (current) – [Extreme Multi-Label Classification] jmflanig
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 ====== Extreme Multi-Label Classification ======
-Extreme multi-label classification (or extreme multi-label learning, XML) is the task of matching an input with 0 or more labels (the most relevant labels) from an extremely large label set. This is different from multi-class classification, where each instance has only one associated label.  It has been used for recommendations and product search.  Search and IR can also be formulated as XML.
+Extreme multi-label classification (or extreme multi-label learning, XML) is the task of matching an input with 0 or more labels (the most relevant labels) from an extremely large label set.  The space of outputs is $2^L$, where $L$ is a large set.  This is different from multi-class classification, where each instance has only one associated label.  It has been used for recommendations and product search.  Search and IR can also be formulated as XML.
 ===== Overviews =====