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A Generalized Mixture Framework for Multi-label Classification
We develop a novel probabilistic ensemble framework for multi-label classification that is based on the mixtures-of-experts architecture. In this framework, we combine multi-label classification models in the classifier chains family that decompose the class posterior distribution P(Y(1), …, Y(d)|X)...
Guardat en:
| Publicat a: | Proc SIAM Int Conf Data Min |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2015
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4657574/ https://ncbi.nlm.nih.gov/pubmed/26613069 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1137/1.9781611974010.80 |
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