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Dynamic Logistic Regression and Dynamic Model Averaging for Binary Classification
We propose an online binary classification procedure for cases when there is uncertainty about the model to use and parameters within a model change over time. We account for model uncertainty through Dynamic Model Averaging (DMA), a dynamic extension of Bayesian Model Averaging (BMA) in which poste...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3831847/ https://ncbi.nlm.nih.gov/pubmed/21838812 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2011.01645.x |
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