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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...
שמור ב:
| הוצא לאור ב: | Entropy (Basel) |
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| Main Authors: | , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
MDPI
2018
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| נושאים: | |
| גישה מקוונת: | 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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