On Multilabel Classification Methods of Incompletely Labeled Biomedical Text Data

Multilabel classification is often hindered by incompletely labeled training datasets; for some items of such dataset (or even for all of them) some labels may be omitted. In this case, we cannot know if any item is labeled fully and correctly. When we train a classifier directly on incompletely lab...

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Detalles Bibliográficos
Autores principales: Kolesov, Anton, Kamyshenkov, Dmitry, Litovchenko, Maria, Smekalova, Elena, Golovizin, Alexey, Zhavoronkov, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3920912/
https://www.ncbi.nlm.nih.gov/pubmed/24587817
http://dx.doi.org/10.1155/2014/781807

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3920912/
https://www.ncbi.nlm.nih.gov/pubmed/24587817
http://dx.doi.org/10.1155/2014/781807

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