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A Feature Selection Approach Based on Interclass and Intraclass Relative Contributions of Terms
Feature selection plays a critical role in text categorization. During feature selecting, high-frequency terms and the interclass and intraclass relative contributions of terms all have significant effects on classification results. So we put forward a feature selection approach, IIRCT, based on int...
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| Pubblicato in: | Comput Intell Neurosci |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Hindawi Publishing Corporation
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4992800/ https://ncbi.nlm.nih.gov/pubmed/27579032 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/1715780 |
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