SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping

This paper presents a new method, which we call SUSTain, that extends real-valued matrix and tensor factorizations to data where values are integers. Such data are common when the values correspond to event counts or ordinal measures. The conventional approach is to treat integer data as real, and t...

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Detaylı Bibliyografya
Yayımlandı:KDD
Asıl Yazarlar: Perros, Ioakeim, Papalexakis, Evangelos E., Park, Haesun, Vuduc, Richard, Yan, Xiaowei, Defilippi, Christopher, Stewart, Walter F., Sun, Jimeng
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2018
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Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7935718/
https://ncbi.nlm.nih.gov/pubmed/33680534
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3219819.3219999
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