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A Framework for Feature Selection to Exploit Feature Group Structures

Filter feature selection methods play an important role in machine learning tasks when low computational costs, classifier independence or simplicity is important. Existing filter methods predominantly focus only on the input data and do not take advantage of the external sources of correlations wit...

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Pubblicato in:Advances in Knowledge Discovery and Data Mining
Autori principali: Perera, Kushani, Chan, Jeffrey, Karunasekera, Shanika
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2020
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7206161/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-47426-3_61
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