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Mutual Information between Discrete and Continuous Data Sets
Mutual information (MI) is a powerful method for detecting relationships between data sets. There are accurate methods for estimating MI that avoid problems with “binning” when both data sets are discrete or when both data sets are continuous. We present an accurate, non-binning MI estimator for the...
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2014
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3929353/ https://ncbi.nlm.nih.gov/pubmed/24586270 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0087357 |
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