We present a novel approach for classifying documents that combines different pieces of evidence (e.g., textual features of documents, links, and citations) transparently, through...
Adriano Veloso, Wagner Meira Jr., Marco Cristo, Ma...
We study losses for binary classification and class probability estimation and extend the understanding of them from margin losses to general composite losses which are the compos...