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Estimating classification images with generalized linear and additive models
Conventional approaches to modeling classification image data can be described in terms of a standard linear model (LM). We show how the problem can be characterized as a Generalized Linear Model (GLM) with a Bernoulli distribution. We demonstrate via simulation that this approach is more accurate i...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Association for Research in Vision and Ophthalmology (ARVO)
2008
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2861307/ https://ncbi.nlm.nih.gov/pubmed/19146276 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/8.16.10 |
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