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Classification and Comparison via Neural Networks

We consider learning from comparison labels generated as follows: given two samples in a dataset, a labeler produces a label indicating their relative order. Such comparison labels scale quadratically with the dataset size; most importantly, in practice, they often exhibit lower variance compared to...

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Detalhes bibliográficos
Publicado no:Neural Netw
Main Authors: Yildiz, İlkay, Tian, Peng, Dy, Jennifer, Erdoğmuş, Deniz, Brown, James, Kalpathy-Cramer, Jayashree, Ostmo, Susan, Campbell, J. Peter, Chiang, Michael F., ioannidis, Stratis
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6718310/
https://ncbi.nlm.nih.gov/pubmed/31254769
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neunet.2019.06.004
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