Interval Insensitive Loss for Ordinal ClassificationDownload PDFOpen Website

2014 (modified: 24 Apr 2023)ACML 2014Readers: Everyone
Abstract: We address a problem of learning ordinal classifier from partially annotated examples. We introduce an interval-insensitive loss function to measure discrepancy between predictions of an ordinal cl...
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