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Bayesian Nonparametric Modeling of Categorical Data for Information Fusion and Causal Inference †

This paper presents a nonparametric regression model of categorical time series in the setting of conditional tensor factorization and Bayes network. The underlying algorithms are developed to provide a flexible and parsimonious representation for fusion of correlated information from heterogeneous...

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Bibliografiset tiedot
Julkaisussa:Entropy (Basel)
Päätekijät: Xiong, Sihan, Fu, Yiwei, Ray, Asok
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI 2018
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7512915/
https://ncbi.nlm.nih.gov/pubmed/33265485
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20060396
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