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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...
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| Pubblicato in: | Mach Learn |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer US
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6954040/ https://ncbi.nlm.nih.gov/pubmed/31983804 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10994-017-5648-2 |
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