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Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection
Many vision-based applications rely on logistic regression for embedding classification within a probabilistic context, such as recognition in images and videos or identifying disease-specific image phenotypes from neuroimages. Logistic regression, however, often performs poorly when trained on data...
Gorde:
| Argitaratua izan da: | IEEE Trans Pattern Anal Mach Intell |
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| Egile Nagusiak: | , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2019
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7331794/ https://ncbi.nlm.nih.gov/pubmed/30835210 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TPAMI.2019.2901688 |
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