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CDE++: Learning Categorical Data Embedding by Enhancing Heterogeneous Feature Value Coupling Relationships

Categorical data are ubiquitous in machine learning tasks, and the representation of categorical data plays an important role in the learning performance. The heterogeneous coupling relationships between features and feature values reflect the characteristics of the real-world categorical data which...

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Bibliografische gegevens
Gepubliceerd in:Entropy (Basel)
Hoofdauteurs: Dong, Bin, Jian, Songlei, Zuo, Ke
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI 2020
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7516865/
https://ncbi.nlm.nih.gov/pubmed/33286165
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22040391
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