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A Mixtures-of-Trees Framework for Multi-Label Classification
We propose a new probabilistic approach for multi-label classification that aims to represent the class posterior distribution P(Y|X). Our approach uses a mixture of tree-structured Bayesian networks, which can leverage the computational advantages of conditional tree-structured models and the abili...
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| Publicado no: | Proc ACM Int Conf Inf Knowl Manag |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4410801/ https://ncbi.nlm.nih.gov/pubmed/25927011 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/2661829.2661989 |
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