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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Detalles Bibliográficos
Autores principales: Dong, Bin, Jian, Songlei, Zuo, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516865/
https://www.ncbi.nlm.nih.gov/pubmed/33286165
http://dx.doi.org/10.3390/e22040391

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516865/
https://www.ncbi.nlm.nih.gov/pubmed/33286165
http://dx.doi.org/10.3390/e22040391

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