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Simple strategies for semi-supervised feature selection
What is the simplest thing you can do to solve a problem? In the context of semi-supervised feature selection, we tackle exactly this—how much we can gain from two simple classifier-independent strategies. If we have some binary labelled data and some unlabelled, we could assume the unlabelled data...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954040/ https://www.ncbi.nlm.nih.gov/pubmed/31983804 http://dx.doi.org/10.1007/s10994-017-5648-2 |